Sample records for model-based decision support

  1. Decision Support:Decision Support: Decision AnalysisDecision Analysis

    E-Print Network [OSTI]

    Bohanec, Marko

    -Making under Risk · Expected Value · Sensitivity Analysis Decision Analysis Decision Analysis: Applied Decision Decision-Making Process Source: Decision Analysis ­ A Tool to Deal with Uncertainty, http Succeed Fail Decision Trees OR/MS · Multi-Criteria Optimisation · Risk Analysis and Simulation · Bayesian

  2. Decision Support and Risk Management

    E-Print Network [OSTI]

    and emergency management officials during the planning, incident management preparedness, and response phasesDecision Support and Risk Management CVMDM: Community Vaccination and Mass Dispensing Model What and the performance of prophylaxis supply logistics and PODs. Decision and Information Sciences Division Decision

  3. Puerto Rico Disaster Decision Support Tool

    E-Print Network [OSTI]

    Firestone, Jeremy

    Puerto Rico Disaster Decision Support Tool: An innovative step towards community resilience Support Tool Pilot Internet-based scalable mapping server Emergency management geo-referenced information for all municipalities in Puerto Rico #12;Disaster Decision Support Tool (DDST) What is a GIS

  4. Reliable Distributed Computing for Decision Support Systems

    E-Print Network [OSTI]

    Bargiela, Andrzej

    Reliable Distributed Computing for Decision Support Systems Taha Osman, Andrzej Bargiela Department of application tasks on the currently avail- able computing nodes. Distributed Systems Reliability Due decision-support systems such as water distribution net- works, involving hundreds or even thousands

  5. Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor, University of Southern California Los Angeles, CA 90089-2564,USA lrossi@usc.edu, bkrishna@usc.edu, cckuo@sipi.usc.edu Abstract-- The data gathering problem in wireless sensor networks for environmental monitoring, where

  6. Decision Support for Choice of Security

    E-Print Network [OSTI]

    Langseth, Helge

    Decision Support for Choice of Security Solution The Aspect-Oriented Risk Driven Development (AORDD decisions. (4) RDD annotation rules for security risk and security solution variable estimation. (5) The AORDD security solution trade-o¤ analysis and trade-o¤ tool BBN topology. (6) Rule set for how

  7. Decision support tools for policy and planning

    SciTech Connect (OSTI)

    Jacyk, P.; Schultz, D.; Spangenberg, L.

    1995-07-01T23:59:59.000Z

    A decision support system (DSS) is being developed at the Radioactive Liquid Waste Treatment Facility, Los Alamos National Laboratory (LANL). The DSS will be used to evaluate alternatives for improving LANL`s existing central radioactive waste water treatment plant and to evaluate new site-wide liquid waste treatment schemes that are required in order to handle the diverse waste streams produced at LANL. The decision support system consists of interacting modules that perform the following tasks: rigorous process simulation, configuration management, performance analysis, cost analysis, risk analysis, environmental impact assessment, transportation modeling, and local, state, and federal regulation compliance checking. Uncertainty handling techniques are used with these modules and also with a decision synthesis module which combines results from the modules listed above. We believe the DSS being developed can be applied to almost any other industrial water treatment facility with little modification because in most situations the waste streams are less complex, fewer regulations apply, and the political environment is simpler. The techniques being developed are also generally applicable to policy and planning decision support systems in the chemical process industry.

  8. Transportation Decision Support Systems Oak Ridge National Laboratory

    E-Print Network [OSTI]

    Transportation Decision Support Systems Oak Ridge National Laboratory managed by UT-Battelle, LLC Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle and implementation of automated transportation decision support models for the scheduling and routing of cargo

  9. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common

  10. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real­world logistics problems, common

  11. Decision support software technology demonstration plan

    SciTech Connect (OSTI)

    SULLIVAN,T.; ARMSTRONG,A.

    1998-09-01T23:59:59.000Z

    The performance evaluation of innovative and alternative environmental technologies is an integral part of the US Environmental Protection Agency's (EPA) mission. Early efforts focused on evaluating technologies that supported the implementation of the Clean Air and Clean Water Acts. In 1986 the Agency began to demonstrate and evaluate the cost and performance of remediation and monitoring technologies under the Superfund Innovative Technology Evaluation (SITE) program (in response to the mandate in the Superfund Amendments and Reauthorization Act of 1986 (SARA)). In 1990, the US Technology Policy was announced. This policy placed a renewed emphasis on making the best use of technology in achieving the national goals of improved quality of life for all Americans, continued economic growth, and national security. In the spirit of the technology policy, the Agency began to direct a portion of its resources toward the promotion, recognition, acceptance, and use of US-developed innovative environmental technologies both domestically and abroad. Decision Support Software (DSS) packages integrate environmental data and simulation models into a framework for making site characterization, monitoring, and cleanup decisions. To limit the scope which will be addressed in this demonstration, three endpoints have been selected for evaluation: Visualization; Sample Optimization; and Cost/Benefit Analysis. Five topics are covered in this report: the objectives of the demonstration; the elements of the demonstration plan; an overview of the Site Characterization and Monitoring Technology Pilot; an overview of the technology verification process; and the purpose of this demonstration plan.

  12. Strategies and Decision Support Systems for Integrating Variable...

    Open Energy Info (EERE)

    Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations: Global Best Practices, Examples of Excellence and...

  13. assessment decision support: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    program for salmonids on the north coast. The Departments of Fish and Game, Forestry and Fire Protection, California Standiford, Richard B. 4 Decision-support tool for...

  14. In: 8TH IMACS Congress MODSIM 09, Cairns, Australia, 2009 Towards model integration and model-based decision

    E-Print Network [OSTI]

    Cengarle, María Victoria

    in order to achieve certain goals ­ avoidance of environmental damage, sustainabl-based decision support for environmental applications Struss, P. 1 1 Tech. Univ. Munich, Comp. Sci. Dept that can help decision making about environmental problems should be delivered in the form of executable

  15. MIS 383N DECISION SUPPORT MODELING SPRING 2012

    E-Print Network [OSTI]

    Ghosh, Joydeep

    MIS 383N DECISION SUPPORT MODELING SPRING 2012 TT 12:30-2:00, GSB 3.106 Professor James S. Dyer. Materials Required: The primary textbook is: (C&R) Clemen, R. and Reilly, T., Making Hard Decisions, South Grove, CA: Duxbury Press (ISBN 0-324-66244-0) (TM) Titman, T. and J. D. Martin. 2011, 2 nd Edition

  16. Automation and Accountability in Decision Support System Interface Design

    E-Print Network [OSTI]

    Cummings, M. L.

    2006-01-01T23:59:59.000Z

    When the human element is introduced into decision support system design, entirely new layers of social and ethical issues emerge but are not always recognized as such. This paper discusses those ethical and social impact ...

  17. New Decision Support Tool for Acute Lymphoblastic Leukemia Classification

    E-Print Network [OSTI]

    Chronopoulos, Anthony T.

    New Decision Support Tool for Acute Lymphoblastic Leukemia Classification Monica Madhukar affected by Acute Lymphoblastic Leukemia. The results show that the proposed system robustly segments and classifies acute lymphoblastic leukemia based on complete microscopic blood images. Keywords: Classification

  18. Transportation Center Seminar "Electric Vehicle Recharging: Decision Support

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Transportation Center Seminar "Electric Vehicle Recharging: Decision Support Tools for Drivers Conference Center Refreshments available at 3:30 pm Abstract: Plug-in electric vehicles (PEVs) have become electric vehicles. #12;

  19. Scientia : An end user development environment for decision support systems/

    E-Print Network [OSTI]

    Sims, Clayton Tyler

    2009-01-01T23:59:59.000Z

    This thesis describes an end user programming environment that allows non-programmers to create decision support protocols for use on electronic devices. User centered design techniques were followed to identify the ...

  20. Using Built-In Domain-Specific Modeling Support to Guide Model-Based Test Generation

    E-Print Network [OSTI]

    Kanstrén, Teemu; 10.4204/EPTCS.80.5

    2012-01-01T23:59:59.000Z

    We present a model-based testing approach to support automated test generation with domain-specific concepts. This includes a language expert who is an expert at building test models and domain experts who are experts in the domain of the system under test. First, we provide a framework to support the language expert in building test models using a full (Java) programming language with the help of simple but powerful modeling elements of the framework. Second, based on the model built with this framework, the toolset automatically forms a domain-specific modeling language that can be used to further constrain and guide test generation from these models by a domain expert. This makes it possible to generate a large set of test cases covering the full model, chosen (constrained) parts of the model, or manually define specific test cases on top of the model while using concepts familiar to the domain experts.

  1. Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories

    E-Print Network [OSTI]

    Krebsbach, Kurt D.

    Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories Kurt D system to provide decision support for refinery operations personnel (Krebsbach & Musliner 1997; Musliner to provide sufficiently flexible decision support in complex environments. Background: Refinery Control

  2. Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis

    E-Print Network [OSTI]

    Kim, Hwan Yong

    2013-04-04T23:59:59.000Z

    the TUT research generated diverse variables and created possible implementations of spatial decision support system (SDSS), the methodology still demands improvement. The current method has been developed to create suitable routes but is not designed...

  3. Interactive Decision Support for Risk Management: a Qualitative Evaluation in Cancer Genetic Counselling Sessions

    E-Print Network [OSTI]

    Glasspool, David W.; Oettinger, Ayelet; Braithwaite, Dejana; Fox, John

    2010-01-01T23:59:59.000Z

    10.1007/s13187-009-0035-8 Interactive Decision Support forcounselling. Keywords Interactive decision support . Riskparticularly the dynamic, interactive display with its fast

  4. SciTech Connect: Energy Signal Tool for Decision Support in Building...

    Office of Scientific and Technical Information (OSTI)

    Energy Signal Tool for Decision Support in Building Energy Systems Citation Details In-Document Search Title: Energy Signal Tool for Decision Support in Building Energy Systems A...

  5. Robust model-based detection of the lung field boundaries in portable chest radiographs supported by selective thresholding

    E-Print Network [OSTI]

    Athens, University of

    Robust model-based detection of the lung field boundaries in portable chest radiographs supported of the lung field boundaries in portable chest radiographs supported by selective thresholding D K Iakovidis1-ray misinterpretation rates. This paper presents a novel methodology for the detection of the lung field boundaries

  6. Decision Support Tool for Desert Tortoises Near Solar Installations

    E-Print Network [OSTI]

    Decision Support Tool for Desert Tortoises Near Solar Installations ENVIRONMENTAL AREA RESEARCH of renewable energy is of vital importance. Through its focus on reducing the environmental impacts of solar PIER Environmental Research www.energy.ca.gov/research/ environmental/index.html April 2011 The Issue

  7. GLIDES PROJECT GuideLines Into DEcision Support

    E-Print Network [OSTI]

    Lee, Daeyeol

    GLIDES PROJECT GuideLines Into DEcision Support sponsored by The Agency for Healthcare Research;Topics · GLIDES 4-level "stack" ­ NarraAve guideline with quality, implementabilityLon, and local coding/linking ­ To Formal Quality Measure via QDM, eMeasure · BRIDGE

  8. Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support

    E-Print Network [OSTI]

    Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support Lu Liu , Jie Tang to utilize the heterogeneous medical records to aid the clinical treatments of diabetes mellitus. Diabetes mellitus, simply diabetes, is a group of metabolic diseases, which is often accompa- nied with many

  9. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    for capturing and reusing experience and best practice in industrial operations5-7 . CBR as a technology has nowKNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process

  10. North Slope Decision Support for Water Resource Planning and Management

    SciTech Connect (OSTI)

    Schnabel, William; Brumbelow, Kelly

    2013-03-31T23:59:59.000Z

    The objective of this project was to enhance the water resource decision-making process with respect to oil and gas exploration/production activities on Alaska’s North Slope. To this end, a web-based software tool was developed to allow stakeholders to assemble, evaluate, and communicate relevant information between and amongst themselves. The software, termed North Slope Decision Support System (NSDSS), is a visually-referenced database that provides a platform for running complex natural system, planning, and optimization models. The NSDSS design was based upon community input garnered during a series of stakeholder workshops, and the end product software is freely available to all stakeholders via the project website. The tool now resides on servers hosted by the UAF Water and Environmental Research Center, and will remain accessible and free-of-charge for all interested stakeholders. The development of the tool fostered new advances in the area of data evaluation and decision support technologies, and the finished product is envisioned to enhance water resource planning activities on Alaska’s North Slope.

  11. Decision support for integrated water-energy planning.

    SciTech Connect (OSTI)

    Tidwell, Vincent Carroll; Malczynski, Leonard A.; Kobos, Peter Holmes; Castillo, Cesar; Hart, William Eugene; Klise, Geoffrey T.

    2009-10-01T23:59:59.000Z

    Currently, electrical power generation uses about 140 billion gallons of water per day accounting for over 39% of all freshwater withdrawals thus competing with irrigated agriculture as the leading user of water. Coupled to this water use is the required pumping, conveyance, treatment, storage and distribution of the water which requires on average 3% of all electric power generated. While water and energy use are tightly coupled, planning and management of these fundamental resources are rarely treated in an integrated fashion. Toward this need, a decision support framework has been developed that targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels. The framework integrates analysis and optimization capabilities to identify trade-offs, and 'best' alternatives among a broad list of energy/water options and objectives. The decision support framework is formulated in a modular architecture, facilitating tailored analyses over different geographical regions and scales (e.g., national, state, county, watershed, NERC region). An interactive interface allows direct control of the model and access to real-time results displayed as charts, graphs and maps. Ultimately, this open and interactive modeling framework provides a tool for evaluating competing policy and technical options relevant to the energy-water nexus.

  12. weber, evans, moser, and newell Air Traffic Management Decision Support During Convective Weather

    E-Print Network [OSTI]

    Reuter, Martin

    · weber, evans, moser, and newell Air Traffic Management Decision Support During Convective WeatherTraffic Management Decision Support During Convective Weather Mark E. Weber, James E. Evans, William R. Moser algorithm. #12;· weber, evans, moser, and newell Air Traffic Management Decision Support During Convective

  13. REVIEW ARTICLE Models to support cropping plan and crop rotation decisions.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . To support farmers and efficiently allocate scarce resources, decision support models are developed. DecisionREVIEW ARTICLE Models to support cropping plan and crop rotation decisions. A review Jérôme Dury /Published online: 8 July 2011 # INRA and Springer Science+Business Media B.V. 2011 Abstract Farmers must

  14. A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION POLK COUNTY, NEBRASKA

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION IN POLK COUNTY, NEBRASKA A.E. Gadem1-based decision-support systems are powerful, new tools for assessing inherent soil productivity and potential conservation strategies to reduce soil-loss in areas with high potential erosion rates. These decision support

  15. Sandia Energy - Decision Support for Integrated Energy-Water Planning

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecision Support for

  16. Decision Support for Operations and Maintenance (DSOM) - Energy Innovation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITIONPortal Decision Support for Operations and Maintenance

  17. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    SciTech Connect (OSTI)

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01T23:59:59.000Z

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  18. Model-based design of an ultra high performance concrete support structure for a wind turbine

    E-Print Network [OSTI]

    Wang, Zheng, M. Eng. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    A support tower is the main structure which would support rotor, power transmission and control systems, and elevates the rotating blades above the earth boundary layer. A successful design should ensure safe, efficient ...

  19. CropIrri: A DECISION SUPPORT SYSTEM FOR CROP IRRIGATION MANAGEMENT

    E-Print Network [OSTI]

    CropIrri: A DECISION SUPPORT SYSTEM FOR CROP IRRIGATION MANAGEMENT Yi Zhang1 , Liping Feng1,* 1: A field crop irrigation management decision-making system (CropIrri) was developed based on the soil water of optimal irrigation methods and irrigation decision support system have obtained important achievements (J

  20. Making Risk Models Operational for Situational Awareness and Decision Support

    SciTech Connect (OSTI)

    Paulson, Patrick R.; Coles, Garill A.; Shoemaker, Steven V.

    2012-06-12T23:59:59.000Z

    Modernization of nuclear power operations control systems, in particular the move to digital control systems, creates an opportunity to modernize existing legacy infrastructure and extend plant life. We describe here decision support tools that allow the assessment of different facets of risk and support the optimization of available resources to reduce risk as plants are upgraded and maintained. This methodology could become an integrated part of the design review process and a part of the operations management systems. The methodology can be applied to the design of new reactors such as small nuclear reactors (SMR), and be helpful in assessing the risks of different configurations of the reactors. Our tool provides a low cost evaluation of alternative configurations and provides an expanded safety analysis by considering scenarios while early in the implementation cycle where cost impacts can be minimized. The effects of failures can be modeled and thoroughly vetted to understand their potential impact on risk. The process and tools presented here allow for an integrated assessment of risk by supporting traditional defense in depth approaches while taking into consideration the insertion of new digital instrument and control systems.

  1. Decision support systems and methods for complex networks

    DOE Patents [OSTI]

    Huang, Zhenyu (Richland, WA); Wong, Pak Chung (Richland, WA); Ma, Jian (Richland, WA); Mackey, Patrick S (Richland, WA); Chen, Yousu (Richland, WA); Schneider, Kevin P (Seattle, WA)

    2012-02-28T23:59:59.000Z

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  2. Logic-Based Decision Support for Strategic Environmental Assessment

    E-Print Network [OSTI]

    Gavanelli, Marco; Milano, Michela; Cagnoli, Paolo; 10.1017/S1471068410000335

    2010-01-01T23:59:59.000Z

    Strategic Environmental Assessment is a procedure aimed at introducing systematic assessment of the environmental effects of plans and programs. This procedure is based on the so-called coaxial matrices that define dependencies between plan activities (infrastructures, plants, resource extractions, buildings, etc.) and positive and negative environmental impacts, and dependencies between these impacts and environmental receptors. Up to now, this procedure is manually implemented by environmental experts for checking the environmental effects of a given plan or program, but it is never applied during the plan/program construction. A decision support system, based on a clear logic semantics, would be an invaluable tool not only in assessing a single, already defined plan, but also during the planning process in order to produce an optimized, environmentally assessed plan and to study possible alternative scenarios. We propose two logic-based approaches to the problem, one based on Constraint Logic Programming a...

  3. E-Print Network 3.0 - automated decision support Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for human and automation aiding was not supported when... decisions on the use of in-vehicle automation. These include ... Source: Kaber, David B. - Department of Industrial...

  4. CONCURRENT ENGINEERING: Research and Applications On Validating Engineering Design Decision Support Tools

    E-Print Network [OSTI]

    Lewis, Kemper E.

    CONCURRENT ENGINEERING: Research and Applications On Validating Engineering Design Decision Support the concurrent engineering research community. Key Words: Decision Based Design (DBD), House of Quality, Suh specifically for concurrent engineering applications. This list is by no means exhaustive, as other decision

  5. Microsoft Word - Improved Interfaces and Decision Support_FINAL...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the skill sets and performance of today's system operators. * Customer Decision Making - Demand Response (DR) systems will provide information to customers in easily understood...

  6. B. Vanlauwe et al.Decision support for organic resource management Original article

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ), or by application of vast amounts of manures or other organic resources, e.g., sods of peat in northern Belgium [5B. Vanlauwe et al.Decision support for organic resource management Original article Organic resource management in sub-Saharan Africa: validation of a residue quality-driven decision support system

  7. A Drug Administration Decision Support System Wenqi You, Alena Simalatsar, Nicolas Widmer and Giovanni De Micheli

    E-Print Network [OSTI]

    De Micheli, Giovanni

    A Drug Administration Decision Support System Wenqi You, Alena Simalatsar, Nicolas Widmer, Switzerland. Email: nicolas.widmer@chuv.ch Abstract--Drug delivery is one of the most common clinical routines-invasive and accurate way. This paper proposes a Drug Administration Decision Support System (DADSS) to help clinicians

  8. Representing Uncertainty in Decision Support Harvey J. Greenberg

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    overlapping factors. · Source of uncertainty. Is it a future event, such as product demand? Is it ignorance defines a proven reserve? · Time scale. Is the decision a strategic one, to cover a planning horizon? Is it a major setback, such as the loss of a company? Is it catastrophic, such as the loss of a city? · Decision

  9. Decision support systems for automated terminal area air traffic control

    E-Print Network [OSTI]

    Pararas, John Demetrios

    1982-01-01T23:59:59.000Z

    This work studies the automation of the terminal area Air Traffic Management and Control (ATM/C) system. The ATM/C decision-making process is analyzed and broken down into a number of "automation functions". Each of these ...

  10. A framework for decision support in systems architecting

    E-Print Network [OSTI]

    Simmons, Willard Lennox

    2008-01-01T23:59:59.000Z

    The objective of this thesis is to provide a method and tool to leverage computational resources to empower a systems architect to reason about architectural decisions more comprehensively and effectively compared to ...

  11. Decision support models for solid waste management: Review and game-theoretic approaches

    SciTech Connect (OSTI)

    Karmperis, Athanasios C., E-mail: athkarmp@mail.ntua.gr [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece); Army Corps of Engineers, Hellenic Army General Staff, Ministry of Defence (Greece); Aravossis, Konstantinos; Tatsiopoulos, Ilias P.; Sotirchos, Anastasios [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece)

    2013-05-15T23:59:59.000Z

    Highlights: ? The mainly used decision support frameworks for solid waste management are reviewed. ? The LCA, CBA and MCDM models are presented and their strengths, weaknesses, similarities and possible combinations are analyzed. ? The game-theoretic approach in a solid waste management context is presented. ? The waste management bargaining game is introduced as a specific decision support framework. ? Cooperative and non-cooperative game-theoretic approaches to decision support for solid waste management are discussed. - Abstract: This paper surveys decision support models that are commonly used in the solid waste management area. Most models are mainly developed within three decision support frameworks, which are the life-cycle assessment, the cost–benefit analysis and the multi-criteria decision-making. These frameworks are reviewed and their strengths and weaknesses as well as their critical issues are analyzed, while their possible combinations and extensions are also discussed. Furthermore, the paper presents how cooperative and non-cooperative game-theoretic approaches can be used for the purpose of modeling and analyzing decision-making in situations with multiple stakeholders. Specifically, since a waste management model is sustainable when considering not only environmental and economic but also social aspects, the waste management bargaining game is introduced as a specific decision support framework in which future models can be developed.

  12. Linking MODFLOW with an Agent-Based Land-Use Model to Support Decision Making

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    Linking MODFLOW with an Agent-Based Land-Use Model to Support Decision Making by Howard W. Reeves1 improve water resources management by illustrating the nonlinear behavior of the coupled system (Pahl systems arise from the decisions of many individuals and groups (Holland 1995; Batty 2005). For the agent

  13. A decision-support model for managing the fuel inventory of a Panamanian generating company

    E-Print Network [OSTI]

    Perez-Franco, Roberto, 1976-

    2004-01-01T23:59:59.000Z

    Bahia Las Minas Corp (BLM) is a fuelpowered generating company in the Panamanian power system. The purpose of this thesis is to design and evaluate a decision-support model for managing the fuel inventory of this company. ...

  14. The role of transfer-appropriate processing in the effectiveness of decision-support graphics 

    E-Print Network [OSTI]

    Stiso, Michael E.

    2004-11-15T23:59:59.000Z

    The current project is an examination of the effectiveness of decision-support graphics in a simulated real-world task, and of the role those graphics should play in training. It is also an attempt to apply a theoretical ...

  15. Decision support tool for the tanker second-hand market using data mining techniques

    E-Print Network [OSTI]

    Karaindros, Athanasios A. (Athanasios Andreas)

    2005-01-01T23:59:59.000Z

    This thesis proposes an innovative decision support tool intended for market leaders and those anticipating market states of "sale and purchase". This is feasible with the use of powerful data mining techniques and the ...

  16. City.Net IES: A sustainability-oriented energy decision support system

    E-Print Network [OSTI]

    Adepetu, Adedamola

    A city's energy system processes, as well as the interactions of the energy system with other systems in a city are imperative in creating a comprehensive energy decision support system due to the interdependencies between ...

  17. BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME

    E-Print Network [OSTI]

    BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME Justyna the model of sustainable development of SME based on using Business Intelligence as an innovative computer Management, Business Intelligence, SME BUSINESS INTELLIGENCE JAKO PRZYKLAD INNOWACYJNEGO NARZDZIA

  18. architecture decision support: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sciences Websites Summary: SHARK: Architectural Support for Autonomic Protection Against Stealth by Rootkit Exploits Vikas R, in this paper, an autonomic architecture called...

  19. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high' level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the glue'' or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  20. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high` level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the ``glue`` or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  1. The Role of GIS in Decision Support Systems

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactive Liquid Waste TreatmentTheGIS in Decision

  2. Decision Support System for integrated door-to-door delivery

    E-Print Network [OSTI]

    Ducatelle, Frederick

    , responsible for traffic infra- structure, while the demand side is constituted by production and trans on the demand side and support planning on the supply side. The objectives of the supply-oriented system, filtered and aggregated suitably to become information with added value. MOSCA Homepage - www

  3. A DECISION SUPPORT SYSTEM FOR FORENSIC Gildas Morvan1

    E-Print Network [OSTI]

    Boyer, Edmond

    (PMI) and possibly information about the victim such as death location [1]. This is done studying entomofauna, i.e. insects, mainly maggots (flies larvae), found on the corpse. PMI is usually estimated Support System (DSS) architecture able to perform PMI estimations using this model. 2 Introduction

  4. Using CORE Model-Based Systems Engineering Software to Support Program Management in the U.S. Department of Energy Office of the Biomass Project: Preprint

    SciTech Connect (OSTI)

    Riley, C.; Sandor, D.; Simpkins, P.

    2006-11-01T23:59:59.000Z

    This paper describes how a model-based systems engineering software, CORE, is helping the U. S. Department of Energy's Office of Biomass Program assist with bringing biomass-derived biofuels to the market. This software tool provides information to guide informed decision-making as biomass-to-biofuels systems are advanced from concept to commercial adoption. It facilitates management and communication of program status by automatically generating custom reports, Gantt charts, and tables using the widely available programs of Microsoft Word, Project and Excel.

  5. Decision-support tools for the assessment process

    SciTech Connect (OSTI)

    Whelan, Gene; Pelton, Mitch A.; Dorow, Kevin E.

    2004-06-14T23:59:59.000Z

    A new software system is under development that provides a framework to link disparate assessment software and databases for site-specific, regional, or national analyses. This system represents the merger of the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES), which performs site-specific assessments, and Multi-media, Multi-pathway, Multi-receptor Risk Assessment (3MRA) methodology, which performs regional and national assessments. This Merged System is an icon-driven, site-layout platform, which represents an interactive means by which the user graphically constructs a conceptualization of the problem by visually expressing the assessment, indicating sources of contamination, contaminant travel pathways through the environment, linkages between contamination and people or wildlife, and impacts associated with the contamination. It processes data as part of a systems-based assessment and is an open-architecture, object-oriented framework, which contains ''sockets'' for a collection of databases and computer codes that will transparently simulate elements of transport, exposure, and risk assessment, including contaminant source and release to and through overland soils, vadose and saturated zones, air, surface water, food supply, intake human health impacts, sensitivity/uncertainty, ecological impacts, with the ability to expand into areas including Geographical Information System (GIS), remediation technology, cost analysis, Data Quality Objectives, life-cycle management, and conceptual site design. A user can choose from a list of models, and the assessment path forward can be visually presented, which describes the models and their linkages from source through receptor to the decision-making endpoint.

  6. Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    1 Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems M.L. Cummings* Sylvain Bruni Humans and Automation Laboratory 77 Massachusetts Ave, 33 uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation

  7. Leading a Horse to Water: Using Automated Reminders to Increase Use of Online Decision Support

    E-Print Network [OSTI]

    Cimino, James J.

    Leading a Horse to Water: Using Automated Reminders to Increase Use of Online Decision Support during the course of clinical care. For example, Ely and colleagues found that physicians in clinical appropriate information resources in the course of patient care. Indeed, this is the method primarily used

  8. A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations

    E-Print Network [OSTI]

    Aamodt, Agnar

    A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations Odd Erik Gundersen In this paper we present DrillEdge - a commercial and award winning software system that monitors oil-well drilling operations in order to reduce non-productive time (NPT). DrillEdge utilizes case-based reasoning

  9. GEOSPATIAL DECISION SUPPORT FOR SEED COMPANIES IN THE CORN BELT Marcus E. Tooze1

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    GEOSPATIAL DECISION SUPPORT FOR SEED COMPANIES IN THE CORN BELT Marcus E. Tooze1 , S. Hatten2 , W in the seed industry, new applications emerge for mapping, analysis, and interpretation of cultivar. In addition, a geospatial framework was developed to identify the soil landscapes that had the best soil

  10. Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions for a sustainable energy future? Three teams, UMass, Harvard, and FEEM (Fondazione Eni Enrico Mattei), share a goal technologies to fund for optimal success for a sustainable energy future. Progress and Results · Created models

  11. Decision-support tool for assessing future nuclear reactor generation portfolios.

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Decision-support tool for assessing future nuclear reactor generation portfolios. Shashi Jain, where especially capital costs are known to be highly uncertain. Differ- ent nuclear reactor types uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors

  12. Opportune maintenance and predictive maintenance decision support douard Thomas, ric Levrat, Benoit Iung, Pierre Cocheteux

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    : When to perform a particular maintenance action? What components should benefit from a preventive maintenance action? Which components should first benefit from a preventive maintenance interventionOpportune maintenance and predictive maintenance decision support Ã?douard Thomas, Ã?ric Levrat

  13. Advanced Maintenance Modelling StatAvaries : An original multinet decision support tool for

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the use of the preventive maintenance strategies on the availability of the network whereas the last model and preventive maintenance actions to delays before broken rails detection and related number of missed trains (aAdvanced Maintenance Modelling 1 StatAvaries : An original multinet decision support tool

  14. Decision Support Modeling and analysis of an auction-based logistics market

    E-Print Network [OSTI]

    Karaesmen, Fikri

    Decision Support Modeling and analysis of an auction-based logistics market Semra Agrali a , Barisß a logistics spot market where the transportation orders from a number of firms are matched with two types that have lower costs. In order to analyze the effects of implementing a logistics spot market

  15. Estimating traffic flows and environmental effects of urban commercial supply in global city logistics decision support

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    logistics decision support Jesús González Feliu Laboratoire d'Economie des Transports Frédéric Henriot for the entire urban logistics system. The model shows the relation between several aspects of commercial on representative scenarios are proposed. Introduction City logistics studies the urban part of the logistic chain

  16. The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

    E-Print Network [OSTI]

    Sommerville, Ian

    1 The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise Ali Khajeh-Hosseini, David Greenwood, James W. Smith, Ian Sommerville Cloud Computing Co-laboratory, School of Computer Science University of St Andrews, UK {akh, dsg22, jws7, ifs}@cs.st-andrews.ac.uk Abstract Cloud computing

  17. Decision making technical support study for the US Army's Chemical Stockpile Disposal Program

    SciTech Connect (OSTI)

    Feldman, D.L.; Dobson, J.E.

    1990-08-01T23:59:59.000Z

    This report examines the adequacy of current command and control systems designed to make timely decisions that would enable sufficient warning and protective response to an accident at the Edgewood area of Aberdeen Proving Ground (APG), Maryland, and at Pine Bluff Arsenal (PBA), Arkansas. Institutional procedures designed to facilitate rapid accident assessment, characterization, warning, notification, and response after the onset of an emergency and computer-assisted decision-making aids designed to provide salient information to on- and-off-post emergency responders are examined. The character of emergency decision making at APG and PBA, as well as potential needs for improvements to decision-making practices, procedures, and automated decision-support systems (ADSSs), are described and recommendations are offered to guide equipment acquisition and improve on- and off-post command and control relationships. We recommend that (1) a continued effort be made to integrate on- and off-post command control, and decision-making procedures to permit rapid decision making; (2) the pathways for alert and notification among on- and off-post officials be improved and that responsibilities and chain of command among off-post agencies be clarified; (3) greater attention be given to organizational and social context factors that affect the adequacy of response and the likelihood that decision-making systems will work as intended; and (4) faster improvements be made to on-post ADSSs being developed at APG and PBA, which hold considerable promise for depicting vast amounts of information. Phased development and procurement of computer-assisted decision-making tools should be undertaken to balance immediate needs against available resources and to ensure flexibility, equity among sites, and compatibility among on- and off-post systems. 112 refs., 6 tabs.

  18. Interactive Decision-Support Tool for Risk-Based Radiation Therapy Plan Comparison for Hodgkin Lymphoma

    SciTech Connect (OSTI)

    Brodin, N. Patrik [Department of Radiation Oncology, Albert Einstein College of Medicine of Yeshiva University, New York, New York (United States); Maraldo, Maja V., E-mail: dra.maraldo@gmail.com [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Aznar, Marianne C. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Niels Bohr Institute, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Vogelius, Ivan R. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Petersen, Peter M. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Hematology, Rigshospitalet, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Bentzen, Søren M. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Human Oncology, University of Wisconsin Medical School, Madison, Wisconsin (United States); Specht, Lena [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Hematology, Rigshospitalet, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark)

    2014-02-01T23:59:59.000Z

    Purpose: To present a novel tool that allows quantitative estimation and visualization of the risk of various relevant normal tissue endpoints to aid in treatment plan comparison and clinical decision making in radiation therapy (RT) planning for Hodgkin lymphoma (HL). Methods and Materials: A decision-support tool for risk-based, individualized treatment plan comparison is presented. The tool displays dose–response relationships, derived from published clinical data, for a number of relevant side effects and thereby provides direct visualization of the trade-off between these endpoints. The Quantitative Analyses of Normal Tissue Effects in the Clinic reports were applied, complemented with newer data where available. A “relevance score” was assigned to each data source, reflecting how relevant the input data are to current RT for HL. Results: The tool is applied to visualize the local steepness of dose–response curves to drive the reoptimization of a volumetric modulated arc therapy treatment plan for an HL patient with head-and-neck involvement. We also use this decision-support tool to visualize and quantitatively evaluate the trade-off between a 3-dimensional conformal RT plan and a volumetric modulated arc therapy plan for a patient with mediastinal HL. Conclusion: This multiple-endpoint decision-support tool provides quantitative risk estimates to supplement the clinical judgment of the radiation oncologist when comparing different RT options.

  19. A decision-support system for sustainable urban metabolism in Europe

    SciTech Connect (OSTI)

    Gonzalez, Ainhoa, E-mail: ainhoag@yahoo.com [Trinity Centre for Biodiversity Research, School of Natural Sciences, Trinity College Dublin, College Green, Dublin 2 (Ireland); Donnelly, Alison, E-mail: donnelac@tcd.ie [Centre for the Environment, School of Natural Sciences, Trinity College Dublin (Ireland); Jones, Mike, E-mail: mike.jones@tcd.ie [Discipline of Botany, School of Natural Sciences, Trinity College Dublin (Ireland); Chrysoulakis, Nektarios, E-mail: zedd2@iacm.forth.gr [Foundation for Research and Technology-Hellas, Institute of Applied and Computational Mathematics (Greece); Lopes, Myriam, E-mail: myr@ua.pt [Departamento de Ambiente e Ordenamento and CESAM, University of Aveiro (Portugal)

    2013-01-15T23:59:59.000Z

    Urban metabolism components define the energy and material exchanges within a city and, therefore, can provide valuable information on the environmental quality of urban areas. Assessing the potential impact of urban planning alternatives on urban metabolism components (such as energy, water, carbon and pollutants fluxes) can provide a quantitative estimation of their sustainability performance. Urban metabolism impact assessment can, therefore, contribute to the identification of sustainable urban structures with regards, for example, to building types, materials and layout, as well as to location and capacity of transportation and infrastructural developments. In this way, it enables the formulation of planning and policy recommendations to promote efficient use of resources and enhance environmental quality in urban areas. The European FP7 project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism) has developed a decision-support system (DSS) that systematically integrates urban metabolism components into impact assessment processes with the aim of accurately quantifying the potential effects of proposed planning interventions. The DSS enables integration of multiple spatial and non-spatial datasets (e.g. physical flows of energy and material with variables of social and economic change) in a systematic manner to obtain spatially defined assessment results and to thus inform planners and decision-makers. This multi-criteria approach also enables incorporation of stakeholders' perceptions in order to prioritise decisive assessment criteria. This paper describes the methodological framework used to develop the DSS and critically examines the results of its practical application in five European cities. - Highlights: Black-Right-Pointing-Pointer Urban metabolism in sustainability assessment of planning alternatives. Black-Right-Pointing-Pointer European FP7 project applied to 5 real life case studies across Europe. Black-Right-Pointing-Pointer Decision support system enables incorporating scientific knowledge into planning. Black-Right-Pointing-Pointer Scale, data availability and stakeholder representativeness limit its application.

  20. Comparing object oriented and traditional designs for a forest pest management decision support system

    E-Print Network [OSTI]

    Power, J. M

    1991-01-01T23:59:59.000Z

    developed for a forest pest management decision support system (DSS) to simulate the pattern of functional reusability during system evolution. Each design model was constructed using the Nexpert Object expert system development shell. The 00 design used... CONTROL PLAN PEST SURVEY ES POPULATION DBMS PIANT SPATIAL ANIMAL INSEC'I POPULATION COMPUTER LIFE STAGE PLANT POPULATION~ TOP~ BIOLOGICAL SIMULATION~ WEATHER TREE PHYSICAL~~ SOIL MANAGEMENT FIRE SPATIAL QUERY SUITABILITY QUERY SIMULATION QUERY...

  1. Development of a Decision Support Geographic Information System for land restoration programs in the Leon, Lampasas, and Bosque River Watersheds

    E-Print Network [OSTI]

    Jones, Jason Samuel

    2006-10-30T23:59:59.000Z

    conditions, and geologic characteristics. This study describes the development, accuracy, and application of a decision support geographic information system (DSGIS) for land restoration programs in the Leon, Lampasas, and Bosque River watersheds...

  2. LCA-IWM: A decision support tool for sustainability assessment of waste management systems

    SciTech Connect (OSTI)

    Boer, J. den [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)], E-mail: j.denboer@iwar.tu-darmstadt.de; Boer, E. den; Jager, J. [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)

    2007-07-01T23:59:59.000Z

    The paper outlines the most significant result of the project 'The use of life cycle assessment tools for the development of integrated waste management strategies for cities and regions with rapid growing economies', which was the development of two decision-support tools: a municipal waste prognostic tool and a waste management system assessment tool. The article focuses on the assessment tool, which supports the adequate decision making in the planning of urban waste management systems by allowing the creation and comparison of different scenarios, considering three basic subsystems: (i) temporary storage; (ii) collection and transport and (iii) treatment, disposal and recycling. The design and analysis options, as well as the assumptions made for each subsystem, are shortly introduced, providing an overview of the applied methodologies and technologies. The sustainability assessment methodology used in the project to support the selection of the most adequate scenario is presented with a brief explanation of the procedures, criteria and indicators applied on the evaluation of each of the three sustainability pillars.

  3. IEEE TRANSACTIONS ON COMPUTERS, SPECIAL ISSUE COMPUTATIONAL SUSTAINABILITY, TCSI-2012-10-0740 1 A Decision Support System for the Design

    E-Print Network [OSTI]

    Carenini, Giuseppe

    A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions Brent C. This paper describes a decision support system (DSS) prototype that is designed to help community planners to the community's sustainability goals. Index Terms-- Logic Programming, Decision Support, Design, Environment

  4. Integration of Water Resource Models with Fayetteville Shale Decision Support and Information System

    SciTech Connect (OSTI)

    Cothren, Jackson; Thoma, Greg; DiLuzio, Mauro; Limp, Fred

    2013-06-30T23:59:59.000Z

    Significant issues can arise with the timing, location, and volume of surface water withdrawals associated with hydraulic fracturing of gas shale reservoirs as impacted watersheds may be sensitive, especially in drought years, during low flow periods, or during periods of the year when activities such as irrigation place additional demands on the surface supply of water. Significant energy production and associated water withdrawals may have a cumulative impact to watersheds over the short-term. Hence, hydraulic fracturing based on water withdrawal could potentially create shifts in the timing and magnitude of low or high flow events or change the magnitude of river flow at daily, monthly, seasonal, or yearly time scales. These changes in flow regimes can result in dramatically altered river systems. Currently little is known about the impact of fracturing on stream flow behavior. Within this context the objective of this study is to assess the impact of the hydraulic fracturing on the water balance of the Fayetteville Shale play area and examine the potential impacts of hydraulic fracturing on river flow regime at subbasin scale. This project addressed that need with four unique but integrated research and development efforts: 1) Evaluate the predictive reliability of the Soil and Water Assessment Tool (SWAT) model based at a variety of scales (Task/Section 3.5). The Soil and Water Assessment Tool (SWAT) model was used to simulate the across-scale water balance and the respective impact of hydraulic fracturing. A second hypothetical scenario was designed to assess the current and future impacts of water withdrawals for hydraulic fracturing on the flow regime and on the environmental flow components (EFCs) of the river. The shifting of these components, which present critical elements to water supply and water quality, could influence the ecological dynamics of river systems. For this purpose, we combined the use of SWAT model and Richter et al.’s (1996) methodology to assess the shifting and alteration of the flow regime within the river and streams of the study area. 2) Evaluate the effect of measurable land use changes related to gas development (well-pad placement, access road completion, etc.) on surface water flow in the region (Task/Section 3.7). Results showed that since the upsurge in shale-gas related activities in the Fayetteville Shale Play (between 2006 and 2010), shale-gas related infrastructure in the region have increase by 78%. This change in land-cover in comparison with other land-cover classes such as forest, urban, pasture, agricultural and water indicates the highest rate of change in any land-cover category for the study period. A Soil and Water Assessment Tool (SWAT) flow model of the Little Red River watershed simulated from 2000 to 2009 showed a 10% increase in storm water runoff. A forecast scenario based on the assumption that 2010 land-cover does not see any significant change over the forecast period (2010 to 2020) also showed a 10% increase in storm water runoff. Further analyses showed that this change in the stream-flow regime for the forecast period is attributable to the increase in land-cover as introduced by the shale-gas infrastructure. 3) Upgrade the Fayetteville Shale Information System to include information on watershed status. (Tasks/Sections 2.1 and 2.2). This development occurred early in the project period, and technological improvements in web-map API’s have made it possible to further improve the map. The current sites (http://lingo.cast.uark.edu) is available but is currently being upgraded to a more modern interface and robust mapping engine using funds outside this project. 4) Incorporate the methodologies developed in Tasks/Sections 3.5 and 3.7 into a Spatial Decision Support System for use by regulatory agencies and producers in the play. The resulting system is available at http://fayshale.cast.uark.edu and is under review the Arkansas Natural Resources Commission.

  5. Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems

    SciTech Connect (OSTI)

    Greg Thoma; John Veil; Fred Limp; Jackson Cothren; Bruce Gorham; Malcolm Williamson; Peter Smith; Bob Sullivan

    2009-05-31T23:59:59.000Z

    This report describes work performed during the initial period of the project 'Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems.' The specific region that is within the scope of this study is the Fayetteville Shale Play. This is an unconventional, tight formation, natural gas play that currently has approximately 1.5 million acres under lease, primarily to Southwestern Energy Incorporated and Chesapeake Energy Incorporated. The currently active play encompasses a region from approximately Fort Smith, AR east to Little Rock, AR approximately 50 miles wide (from North to South). The initial estimates for this field put it almost on par with the Barnett Shale play in Texas. It is anticipated that thousands of wells will be drilled during the next several years; this will entail installation of massive support infrastructure of roads and pipelines, as well as drilling fluid disposal pits and infrastructure to handle millions of gallons of fracturing fluids. This project focuses on gas production in Arkansas as the test bed for application of proactive risk management decision support system for natural gas exploration and production. The activities covered in this report include meetings with representative stakeholders, development of initial content and design for an educational web site, and development and preliminary testing of an interactive mapping utility designed to provide users with information that will allow avoidance of sensitive areas during the development of the Fayetteville Shale Play. These tools have been presented to both regulatory and industrial stakeholder groups, and their feedback has been incorporated into the project.

  6. Information technology and decision support tools for stakeholder-driven river basin salinity management

    SciTech Connect (OSTI)

    Quinn, N.W.T; Cozad, D.B.; Lee, G.

    2010-01-01T23:59:59.000Z

    Innovative strategies for effective basin-scale salinity management have been developed in the Hunter River Basin of Australia and more recently in the San Joaquin River Basin of California. In both instances web-based stakeholder information dissemination has been a key to achieving a high level of stakeholder involvement and the formulation of effective decision support salinity management tools. A common element to implementation of salinity management strategies in both river basins has been the concept of river assimilative capacity for controlling export salt loading and the potential for trading of the right to discharge salt load to the river - the Hunter River in Australia and the San Joaquin River in California. Both rivers provide basin drainage and the means of exporting salt to the ocean. The paper compares and contrasts the use of monitoring, modeling and information dissemination in the two basins to achieve environmental compliance and sustain irrigated agriculture in an equitable and socially and politically acceptable manner.

  7. Medication recommendations vs. peer practice in pediatric levothyroxine dosing : a study of collective intelligence from a clinical data warehouse as a potential model for clinical decision support

    E-Print Network [OSTI]

    Scheufele, Elisabeth Lee

    2009-01-01T23:59:59.000Z

    Clinical decision support systems (CDSS) are developed primarily from knowledge gleaned from evidence-based research, guidelines, trusted resources and domain experts. While these resources generally represent information ...

  8. Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research Assessment of environmental models anf software

    E-Print Network [OSTI]

    Monte, L; Hofman, Dimitry

    2005-01-01T23:59:59.000Z

    Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research

  9. A Proposed Decision Support System/Expert System for Guiding Fresh Students in Selecting a Faculty in Gomal University, Pakistan

    E-Print Network [OSTI]

    Aslam, Muhammad Zaheer; Khan, Abdur Rashid

    2011-01-01T23:59:59.000Z

    This paper presents the design and development of a proposed rule based Decision Support System that will help students in selecting the best suitable faculty/major decision while taking admission in Gomal University, Dera Ismail Khan, Pakistan. The basic idea of our approach is to design a model for testing and measuring the student capabilities like intelligence, understanding, comprehension, mathematical concepts plus his/her past academic record plus his/her intelligence level, and applying the module results to a rule-based decision support system to determine the compatibility of those capabilities with the available faculties/majors in Gomal University. The result is shown as a list of suggested faculties/majors with the student capabilities and abilities.

  10. A decision analysis framework to support long-term planning for nuclear fuel cycle technology research, development, demonstration and deployment

    SciTech Connect (OSTI)

    Sowder, A.G.; Machiels, A.J. [Electric Power Research Institute, 1300 West. W.T Harris Boulevard, Charlotte, NC 28262 (United States); Dykes, A.A.; Johnson, D.H. [ABSG Consulting Inc., 300 Commerce, Suite 200, Irvine, CA 92602 (United States)

    2013-07-01T23:59:59.000Z

    To address challenges and gaps in nuclear fuel cycle option assessment and to support research, develop and demonstration programs oriented toward commercial deployment, EPRI (Electric Power Research Institute) is seeking to develop and maintain an independent analysis and assessment capability by building a suite of assessment tools based on a platform of software, simplified relationships, and explicit decision-making and evaluation guidelines. As a demonstration of the decision-support framework, EPRI examines a relatively near-term fuel cycle option, i.e., use of reactor-grade mixed-oxide fuel (MOX) in U.S. light water reactors. The results appear as a list of significant concerns (like cooling of spent fuels, criticality risk...) that have to be taken into account for the final decision.

  11. Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety Decisions and Management

    E-Print Network [OSTI]

    Bowles, David S.

    Decisions and Management DRAFT FOR REVIEW ONLY Portfolio Risk Assessment: A Tool for Managing Dam SafetyICOLD 20th Congress Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety in the Context of the Owner's Business David S. Bowles Professor and Director, Institute for Dam Safety Risk

  12. Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has

    E-Print Network [OSTI]

    Lakshmanan, Laks V.S.

    ; front end client tools for querying and data analysis; server extensions for efficient query processing analysis, risk analysis, credit card analysis, and fraud detection), transportation (for fleet management of decision support, which has increasingly become a focus of the database industry. Many commercial products

  13. Computeer-based decision support tools for evaluation of actions affecting flow and water quality in the San Joaquin Basin

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    1993-01-01T23:59:59.000Z

    This document is a preliminary effort to draw together some of the important simulation models that are available to Reclamation or that have been developed by Reclamation since 1987. This document has also attempted to lay out a framework by which these models might be used both for the purposes for which they were originally intended and to support the analysis of other issues that relate to the hydrology and to salt and water quality management within the San Joaquin Valley. To be successful as components of a larger Decision Support System the models should to be linked together using custom designed interfaces that permit data sharing between models and that are easy to use. Several initiatives are currently underway within Reclamation to develop GIS - based and graphics - based decision support systems to improve the general level of understanding of the models currently in use, to standardize the methodology used in making planning and operations studies and to permit improved data analysis, interpretation and display. The decision support systems should allow greater participation in the planning process, allow the analysis of innovative actions that are currently difficult to study with present models and should lead to better integrated and more comprehensive plans and policy decisions in future years.

  14. Development of a Hand-held Real-time Decision Support Aid for Critical Care , S. Jagannathan*, H. Michel

    E-Print Network [OSTI]

    Michel, Howard E.

    repository. Innovative minimal-set database, data mining and knowledge discovery algorithms using Email:{pfortier, sjagannathan, hmichel, eoneill, ndluhy}@umassd.edu Keywords: data mining, decision supported partially by The National Science Foundation (Award Number EIA-0218909). Abstract In the current

  15. Bottom-up, decision support system development : a wetlandsalinity management application in California's San Joaquin Valley

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10T23:59:59.000Z

    Seasonally managed wetlands in the Grasslands Basin ofCalifornia's San Joaquin Valley provide food and shelter for migratorywildfowl during winter months and sport for waterfowl hunters during theannual duck season. Surface water supply to these wetland contain saltwhich, when drained to the San Joaquin River during the annual drawdownperiod, negatively impacts downstream agricultural riparian waterdiverters. Recent environmental regulation, limiting discharges salinityto the San Joaquin River and primarily targeting agricultural non-pointsources, now addresses return flows from seasonally managed wetlands.Real-time water quality management has been advocated as a means ofmatching wetland return flows to the assimilative capacity of the SanJoaquin River. Past attempts to build environmental monitoring anddecision support systems to implement this concept have failed forreasons that are discussed in this paper. These reasons are discussed inthe context of more general challenges facing the successfulimplementation of environmental monitoring, modelling and decisionsupport systems. The paper then provides details of a current researchand development project which will ultimately provide wetland managerswith the means of matching salt exports with the available assimilativecapacity of the San Joaquin River, when fully implemented. Manipulationof the traditional wetland drawdown comes at a potential cost to thesustainability of optimal wetland moist soil plant habitat in thesewetlands - hence the project provides appropriate data and a feedback andresponse mechanism for wetland managers to balance improvements to SanJoaquin River quality with internally-generated information on the healthof the wetland resource. The author concludes the paper by arguing thatthe architecture of the current project decision support system, whencoupled with recent advances in environmental data acquisition, dataprocessing and information dissemination technology, holds significantpromise to address some of the problems described earlier in the paperthat have limited past efforts to improve Basin water qualitymanagement.

  16. A decision support system for adaptive real-time management ofseasonal wetlands in California

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.; Hanna, W. Mark

    2001-10-16T23:59:59.000Z

    This paper describes the development of a comprehensive flow and salinity monitoring system and application of a decision support system (DSS) to improve management of seasonal wetlands in the San Joaquin Valley of California. The Environmental Protection Agency regulates salinity discharges from non-point sources to the San Joaquin River using a procedure known as the Total Maximum Daily Load (TMDL) to allocate the assimilative capacity of the River for salt among watershed sources. Management of wetland sources of salt load will require the development of monitoring systems, more integrative management strategies and coordination with other entities. To obtain local cooperation the Grassland Water District, whose primary function is to supply surface water to private duck clubs and managed wetlands, needs to communicate to local landowners the likely impacts of salinity regulation on the long term health and function of wildfowl habitat. The project described in this paper will also provide this information. The models that form the backbone of the DSS develop salinity balances at both a regional and local scale. The regional scale concentrates on deliveries to and exports from the Grasland Water District while the local scale focuses on an individual wetland unit where more intensive monitoring is being conducted. The design of the DSS is constrained to meet the needs of busy wetland managers and is being designed from the bottom up utilizing tools and procedures familiar to these individuals.

  17. Conceptual air sparging decision tool in support of the development of an air sparging optimization decision tool

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    The enclosed document describes a conceptual decision tool (hereinafter, Tool) for determining applicability of and for optimizing air sparging systems. The Tool was developed by a multi-disciplinary team of internationally recognized experts in air sparging technology, lead by a group of project and task managers at Parsons Engineering Science, Inc. (Parsons ES). The team included Mr. Douglas Downey and Dr. Robert Hinchee of Parsons ES, Dr. Paul Johnson of Arizona State University, Dr. Richard Johnson of Oregon Graduate Institute, and Mr. Michael Marley of Envirogen, Inc. User Community Panel Review was coordinated by Dr. Robert Siegrist of Colorado School of Mines (also of Oak Ridge National Laboratory) and Dr. Thomas Brouns of Battelle/Pacific Northwest Laboratory. The Tool is intended to provide guidance to field practitioners and environmental managers for evaluating the applicability and optimization of air sparging as remedial action technique.

  18. A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G.S.Bonanos

    E-Print Network [OSTI]

    Athens, University of

    A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G", P.O. Box 60228, Aghia Paraskevi, 15310, Greece Abstract A decision support tool for the management that are based on geographical considerations of the extent of risk. A tool has been developed on a GIS

  19. Abstract--The unavailability of a flexible system for real-time testing of decision-support algorithms in a pre-hospital

    E-Print Network [OSTI]

    and showed that the platform can support a quick development cycle for real-time decision-support algorithms1 Abstract--The unavailability of a flexible system for real- time testing of decision for life-saving interventions and immediate evacuation, and advises on appropriate therapeutic actions [1

  20. DECISION SUPPORT FOR A WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT TREATMENT SYSTEM

    E-Print Network [OSTI]

    Bohanec, Marko

    and Electronic Equipment (WEEE) treatment system in the development of incineration, disposal, treatment and recycling integrated programs. In the paper, we describe the WEEE, taking a broad view of various types of decisions in the field of WEEE. A detailed explanation of the decisions in the WEEE Logistics is given

  1. Economics of Identity and Access Management: Providing Decision Support for Investments

    E-Print Network [OSTI]

    Pym, David J.

    : there is scarcity of resources and budget to address them all. Decision- makers (e.g., CIOs, CISOs) need- makers (e.g. Chief Information Officers -- CIOs, Chief Information Security Officers -- CISOs

  2. The {open_quotes}leak-before-break{close_quotes} applicability in decision support system {open_quotes}strength{close_quotes}

    SciTech Connect (OSTI)

    Torop, V.M.; Orynyak, I.V. [Institute for Problems of Strength, Kiev (Ukraine); Kutovoy, O.L. [Institute of Structure Integrity, Kiev (Ukraine)

    1997-04-01T23:59:59.000Z

    A software decision support system, STRENGTH, for application of leak before break analysis, is described. The background methodology and sample application are outlined. The program allows multioptional computation of loading parameters for different types of defects, and variable properties for metals and welded joints. Structural strength is assessed, and service life predictions are made. The program is used to analyze specific defects identified by nondestructive testing.

  3. Airport pavement management systems (APMS) are computer-based decision support systems that assist airport agencies in making decisions on pavement maintenance and rehabilitation (M&R) activities to preserve the various

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    Airport pavement management systems (APMS) are computer-based decision support systems that assist airport agencies in making decisions on pavement maintenance and rehabilitation (M&R) activities to preserve the various pavement structures such as runways and taxiways in an effective and efficient manner

  4. A Cercla-Based Decision Model to Support Remedy Selection for an Uncertain Volume of Contaminants at a DOE Facility

    SciTech Connect (OSTI)

    Christine E. Kerschus

    1999-03-31T23:59:59.000Z

    The Paducah Gaseous Diffusion Plant (PGDP) operated by the Department of Energy is challenged with selecting the appropriate remediation technology to cleanup contaminants at Waste Area Group (WAG) 6. This research utilizes value-focused thinking and multiattribute preference theory concepts to produce a decision analysis model designed to aid the decision makers in their selection process. The model is based on CERCLA's five primary balancing criteria, tailored specifically to WAG 6 and the contaminants of concern, utilizes expert opinion and the best available engineering, cost, and performance data, and accounts for uncertainty in contaminant volume. The model ranks 23 remediation technologies (trains) in their ability to achieve the CERCLA criteria at various contaminant volumes. A sensitivity analysis is performed to examine the effects of changes in expert opinion and uncertainty in volume. Further analysis reveals how volume uncertainty is expected to affect technology cost, time and ability to meet the CERCLA criteria. The model provides the decision makers with a CERCLA-based decision analysis methodology that is objective, traceable, and robust to support the WAG 6 Feasibility Study. In addition, the model can be adjusted to address other DOE contaminated sites.

  5. Decision Support for Online Auction Sellers with Two-Task Multiple

    E-Print Network [OSTI]

    Ouhyoung, Ming

    ( ) 2009/12/11 1 #12;2 Outline Introduction Related Work Cost-sensitive decision making End-Price) Most products are sold The higher starting price, the higher listing cost and the lower sold-it-now price, shipping cost, duration, start time, end time, pictures, presence of reserve price, payment

  6. Decision Support for Systems Security Investment Yolanta Beresnevichiene, David Pym, Simon Shiu

    E-Print Network [OSTI]

    Pym, David J.

    to the security of their confidential information. An organization's CISO must determine an appropriate policy of CISO, for example, has grown from being a technical job with responsibility for IT security operations with a characterization of the problem, as presented by the decision-maker (e.g., the client organization's CISO

  7. A decision support system for income-producing real estate development feasibility analysis and alternative assessment

    E-Print Network [OSTI]

    Leelarasamee, Yosaporn

    2005-08-29T23:59:59.000Z

    . The system was then tested on a group of graduate students who enrolled in an advanced real estate development course at Texas A&M University to examine whether its facilitation objective had been achieved. Since this research hypothesized that the decision...

  8. Supporting Shared Decision Making within the MobiGuide Project Silvana Quaglini1

    E-Print Network [OSTI]

    Peleg, Mor

    propose decision theory as a methodological framework for a tool that, during face to face encounters better chances for long-term survival) and irradiation (less risky, but offering a lower chance for long-term survival), whether 5-year survival is indeed their main objective. At least for a subset of the patients

  9. SMAC Advisor: A Decision-Support Tool on Coexistence of Genetically-Modified and Conventional Maize

    E-Print Network [OSTI]

    Bohanec, Marko

    is the introduction of genetically modified (GM) crops. On one hand, GM crops have genetical charateristics. On the other hand, the use of GM crops raises many concerns about their potential ecological and economic impacts. Decision-making about GM crops turns out to be extremely difficult as it involves many factors

  10. SEGALL, NOA. Design and Prototyping of a Cognitive Model-Based Decision Support Tool for Anesthesia Provider Management of Crisis Situations. (Under the direction of David B.

    E-Print Network [OSTI]

    Kaber, David B.

    for Anesthesia Provider Management of Crisis Situations. (Under the direction of David B. Kaber.) This research crisis situations that would prompt the anesthesia provider to contact an attending physician. In addition, the tool could be used by practitioners working alone to deliver anesthesia. A novel approach

  11. Modeling and Analysis in Support of Decision Making for Technological Investment

    SciTech Connect (OSTI)

    Lenhart, S

    2003-06-11T23:59:59.000Z

    Engineering design, resource allocation, military operations, and investment strategies share a major common trait, which is, to a large extent, independent of their different origins, specific features, and intended goals. The unifying trait is the fact that, in any of these endeavors, one has to make reasonable choices, at multiple levels of decision making, among various possible and sometimes competing prospective solutions to an important and consequential practical problem. While the specifics of the problem depend on application, context, additional constraints, etc., the ultimate--albeit imprecise--goal in all these activities is to ''optimize performance,'' which is to have maximal success/profit/return with minimal time/effort/investment. In general, the underlying system is ruled by complex and often unknown dynamics, and affected by various uncertainties, which are unknown as well; on the other hand, there are numerous levels of decision making, which result in a hierarchical structure in the decision process (tree) that is both asynchronous and non-deterministic. Usually, indifferent of the specific application, as one lowers the level of decision making, alternatives depend on fewer independent variables and models become more detailed and physics/engineering based. On the contrary, at higher levels, various components aggregate and decision making is based more on fuzzier criteria instead of readily quantifiable physics/engineering details. Moreover, decisions are strongly influenced by the educational and personal biases of the people who take them. In some instances, this may blur, if not totally obfuscate objective comparisons between various options. Therefore, a crucial point in decision-making is properly understanding and quantifying the tradeoffs, including all their future relevant consequences. Since the interaction between various choices is an intricate nonlinear process, the focus shifts from the dynamics itself to the overall performance and affordability. This is not unreasonable, since oftentimes major upgrades on some components have little impact, while minor upgrades of other components turn out to be critical. To illustrate the approach, we assume that one deals with only two levels. At the lower level, physical/engineering processes are described by continuous and/or discrete, analytic and/or computer models. These models are supposed to be deterministic (e.g. dynamics as ruled by well established physical laws), but their outcome may depend in an unpredictable way on: (i) small nonlinearities unaccounted for in the model development and/or (ii) factors that--at the specific level of modelization--may be treated as stochastic terms (weather conditions, human factors, political circumstances, fluctuations in the quality of carburant, wear and tear, etc.) To this extent, the outcomes of the model processes may be considered stochastic variables/fields with a certain probability distribution function (PDF). Upon many realizations of the model, one can get reliable information about the essential features of this PDF.

  12. The internal design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research)

    SciTech Connect (OSTI)

    Strand, R.; Cox, T.L.; Sjoreen, A.; Alvic, D.

    1989-06-01T23:59:59.000Z

    The National Center for Toxicological Research (NCTR) is the basic research arm of the US Food and Drug Administration (FDA). The NCTR has upgraded and standardized its computer operations on Digital Equipment Corporation VAX minicomputers using Software AG's ADABAS data base management system for all research applications. The NCTR is currently performing a large study to improve the functionality of the animal husbandry systems and applications called Breeding/Multigeneration Support System (BMSS). When functional, it will operate on VAX equipment using the ADABAS data base management system, TDMS, and COBOL. Oak Ridge National Laboratory (ORNL) is supporting NCTR in the design, prototyping, and software engineering of the BMSS. This document summarizes the internal design elements that include data structures, file structures, and system attributes that were required to facilitate the decision support requirements defined in the external design work. Prototype pseudocode then was developed for the recommended system attributes and file and data structures. Finally, ORNL described the processing requirements including the initial access of the BMSS, integration of the existing INLIFE system and the STUDY DEFINITION system under development, data system initialization and maintenance, and BMSS testing and verification. This document describes ORNL's recommendations for the internal design of the BMSS. ORNL will provide research support to NCTR in the additional phases of systems life cycle development for BMSS. ORNL has prepared this document according to NCTR's Standard Operating Procedures for Systems Development. 6 figs., 5 tabs.

  13. Probabilistic Modeling for Decision Support in Integrated Operations Martin Giese, University of Oslo; Reidar B. Bratvold, SPE, University of Stavanger

    E-Print Network [OSTI]

    Sahay, Sundeep

    and Solving Decision Problems with Influence Diagrams Decision trees are widely used in the oil & gas industry the method of decision analysis to it. We discuss how the resulting influence diagram was tested using proposes to use the tools of decision analysis to provide decision makers with logical and consistent

  14. Incorporating Stakeholder Decision Support Needs into an Integrated Regional Earth System Model

    SciTech Connect (OSTI)

    Rice, Jennie S.; Moss, Richard H.; Runci, Paul J.; Anderson, K. L.; Malone, Elizabeth L.

    2012-03-21T23:59:59.000Z

    A new modeling effort exploring the opportunities, constraints, and interactions between mitigation and adaptation at regional scale is utilizing stakeholder engagement in an innovative approach to guide model development and demonstration, including uncertainty characterization, to effectively inform regional decision making. This project, the integrated Regional Earth System Model (iRESM), employs structured stakeholder interactions and literature reviews to identify the most relevant adaptation and mitigation alternatives and decision criteria for each regional application of the framework. The information is used to identify important model capabilities and to provide a focus for numerical experiments. This paper presents the stakeholder research results from the first iRESM pilot region. The pilot region includes the Great Lakes Basin in the Midwest portion of the United States as well as other contiguous states. This geographic area (14 states in total) permits cohesive modeling of hydrologic systems while also providing gradients in climate, demography, land cover/land use, and energy supply and demand. The results from the stakeholder research indicate that iRESM should prioritize addressing adaptation alternatives in the water resources, urban infrastructure, and agriculture sectors, such as water conservation, expanded water quality monitoring, altered reservoir releases, lowered water intakes, urban infrastructure upgrades, increased electric power reserves in urban areas, and land use management/crop selection changes. Regarding mitigation alternatives, the stakeholder research shows a need for iRESM to focus on policies affecting the penetration of renewable energy technologies, and the costs and effectiveness of energy efficiency, bioenergy production, wind energy, and carbon capture and sequestration.

  15. Uptake of Decision Support Systems (DSS) in the GB Forestry Sector

    E-Print Network [OSTI]

    · Greater uptake of DSS by the private sector · New demands for DSS to help managers respond to climate change · DSS can support certification #12;Barriers to uptake #12;25/03/20118 Foresters vs. Scientists absolutes which threaten professional judgement #12;25/03/20119 Communication · Improved communication

  16. iRESM INITIATIVE UNDERSTANDING DECISION SUPPORT NEEDS FOR CLIMATE CHANGE MITIGATION AND ADAPTATION --US Midwest Region—

    SciTech Connect (OSTI)

    Rice, Jennie S.; Runci, Paul J.; Moss, Richard H.; Anderson, Kate L.

    2010-10-01T23:59:59.000Z

    The impacts of climate change are already affecting human and environmental systems worldwide, yet many uncertainties persist in the prediction of future climate changes and impacts due to limitations in scientific understanding of relevant causal factors. In particular, there is mounting urgency to efforts to improve models of human and environmental systems at the regional scale, and to integrate climate, ecosystem and energy-economic models to support policy, investment, and risk management decisions related to climate change mitigation (i.e., reducing greenhouse gas emissions) and adaptation (i.e., responding to climate change impacts). The Pacific Northwest National Laboratory (PNNL) is developing a modeling framework, the integrated Regional Earth System Model (iRESM), to address regional human-environmental system interactions in response to climate change and the uncertainties therein. The framework will consist of a suite of integrated models representing regional climate change, regional climate policy, and the regional economy, with a focus on simulating the mitigation and adaptation decisions made over time in the energy, transportation, agriculture, and natural resource management sectors.

  17. Quick start user%3CU%2B2019%3Es guide for the PATH/AWARE decision support system.

    SciTech Connect (OSTI)

    Knowlton, Robert G.; Melton, Brad Joseph; Einfeld, Wayne; Tucker, Mark D; Franco, David Oliver [Sandia National Laboratories, Livermore, CA; Yang, Lynn I. [Sandia National Laboratories, Livermore, CA

    2013-06-01T23:59:59.000Z

    The Prioritization Analysis Tool for All-Hazards/Analyzer for Wide Area Restoration Effectiveness (PATH/AWARE) software system, developed by Sandia National Laboratories, is a comprehensive decision support tool designed to analyze situational awareness, as well as response and recovery actions, following a wide-area release of chemical, biological or radiological materials. The system provides capability to prioritize critical infrastructure assets and services for restoration. It also provides a capability to assess resource needs (e.g., number of sampling teams, laboratory capacity, decontamination units, etc.), timelines for consequence management activities, and costs. PATH/AWARE is a very comprehensive tool set with a considerable amount of database information managed through a Microsoft SQL (Structured Query Language) database engine, a Geographical Information System (GIS) engine that provides comprehensive mapping capabilities, as well as comprehensive decision logic to carry out the functional aspects of the tool set. This document covers the basic installation and operation of the PATH/AWARE tool in order to give the user enough information to start using the tool. A companion users manual is under development with greater specificity of the PATH/AWARE functionality.

  18. Controlling RPV embrittlement through wet annealing in support of life attainment and life extension decisions

    SciTech Connect (OSTI)

    Krasikov, E. A. [National Research Centre Kurchatov Inst., 1, Kurchatov Sq., Moscow, 123182 (Russian Federation)

    2012-07-01T23:59:59.000Z

    As a main barrier against radioactivity outlet reactor pressure vessel (RPV) is a key component in terms of Nuclear Power Plant (NPP) safety. Therefore present-day demands in RPV reliability enhance have to be met by all possible actions for RPV in-service embrittlement mitigation. Annealing treatment is known to be the effective measure to restore the RPV metal properties deteriorated by neutron irradiation. Low temperature 'wet' annealing at a maximum coolant temperature which can be obtained using the reactor core or primary circuit pumps, although it cannot be expected to produce complete recovery, is more attractive from the practical point of view especially in cases when the removal of the internals is impossible. As a rule there is no recovery effect up to annealing and irradiation temperature difference of 70 deg. C. It is known, however, that along with radiation embrittlement neutron irradiation may mitigate the radiation damage in metals. Therefore we have tried to test the possibility to use the effect of radiation-induced ductilization in 'wet' annealing technology by means of nuclear heat utilization as heat and neutron irradiation sources at once. In support of the above-mentioned conception the 3-year duration reactor experiment on 15Cr3NiMoV type steel with preliminary irradiation at operating Pressurized Water Reactor (PWR) at 270 deg. C and following extra irradiation (87 h at 330 deg. C) at IR-8 test reactor was fulfilled. In fact, embrittlement was partly suppressed up to value equivalent to 1,5 fold neutron fluence decrease. The degree of recovery in case of radiation enhanced annealing is equal to 27% whereas furnace annealing results in zero effect under existing conditions. Mechanism of the radiation-induced damage mitigation is proposed. It is hoped that 'wet' annealing technology will help provide a better management of the RPV degradation as a factor affecting the lifetime of nuclear power plants which, together with associated management methods, will help facilitate safe and economic long-term operation of PWRs. (authors)

  19. SU-E-J-04: A Data-Driven, Response-Based, Multi-Criteria Decision Support System for Personalized Lung Radiation Treatment Planning

    SciTech Connect (OSTI)

    Luo, Y; McShan, D; Schipper, M; Matuszak, M; Ten Haken, R [University of Michigan, Ann Arbor, MI (United States); Kong, F [Georgia Regents University, Augusta, GA (Georgia)

    2014-06-01T23:59:59.000Z

    Purpose: To develop a decision support tool to predict a patient's potential overall survival (OS) and radiation induced toxicity (RIT) based on clinical factors and responses during the course of radiotherapy, and suggest appropriate radiation dose adjustments to improve therapeutic effect. Methods: Important relationships between a patient's basic information and their clinical features before and during the radiation treatment are identified from historical clinical data by using statistical learning and data mining approaches. During each treatment period, a data analysis (DA) module predicts radiotherapy features such as time to local progression (TTLP), time to distant metastases (TTDM), radiation toxicity to different organs, etc., under possible future treatment plans based on patient specifics or responses. An information fusion (IF) module estimates intervals for a patient's OS and the probabilities of RIT from a treatment plan by integrating the outcomes of module DA. A decision making (DM) module calculates “satisfaction” with the predicted radiation outcome based on trade-offs between OS and RIT, and finds the best treatment plan for the next time period via multi-criteria optimization. Results: Using physical and biological data from 130 lung cancer patients as our test bed, we were able to train and implement the 3 modules of our decision support tool. Examples demonstrate how it can help predict a new patient's potential OS and RIT with different radiation dose plans along with how these combinations change with dose, thus presenting a range of satisfaction/utility for use in individualized decision support. Conclusion: Although the decision support tool is currently developed from a small patient sample size, it shows the potential for the improvement of each patient's satisfaction in personalized radiation therapy. The radiation treatment outcome prediction and decision making model needs to be evaluated with more patients and demonstrated for use in radiation treatments for other cancers. P01-CA59827;R01CA142840.

  20. Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation

    SciTech Connect (OSTI)

    Daye, Tony [Green Power Labs

    2013-09-30T23:59:59.000Z

    This project will enable utilities to develop long-term strategic plans that integrate high levels of renewable energy generation, and to better plan power system operations under high renewable penetration. The program developed forecast data streams for decision support and effective integration of centralized and distributed solar power generation in utility operations. This toolset focused on real time simulation of distributed power generation within utility grids with the emphasis on potential applications in day ahead (market) and real time (reliability) utility operations. The project team developed and demonstrated methodologies for quantifying the impact of distributed solar generation on core utility operations, identified protocols for internal data communication requirements, and worked with utility personnel to adapt the new distributed generation (DG) forecasts seamlessly within existing Load and Generation procedures through a sophisticated DMS. This project supported the objectives of the SunShot Initiative and SUNRISE by enabling core utility operations to enhance their simulation capability to analyze and prepare for the impacts of high penetrations of solar on the power grid. The impact of high penetration solar PV on utility operations is not only limited to control centers, but across many core operations. Benefits of an enhanced DMS using state-of-the-art solar forecast data were demonstrated within this project and have had an immediate direct operational cost savings for Energy Marketing for Day Ahead generation commitments, Real Time Operations, Load Forecasting (at an aggregate system level for Day Ahead), Demand Response, Long term Planning (asset management), Distribution Operations, and core ancillary services as required for balancing and reliability. This provided power system operators with the necessary tools and processes to operate the grid in a reliable manner under high renewable penetration.

  1. A decision support system for real-time management of dissolvedoxygen in the Stockton deep water ship channel

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Chen, Carl W.; Stringfellow, William T.

    2003-07-16T23:59:59.000Z

    A decision support system(DSS)is under development to assistin the control and management of episodes of dissolved oxygen sag in aDeep Water Ship Channel (DWSC), located in Stockton, California. The DWSCwas formed by excavating the bed of the San Joaquin River in the 1950'sto allow navigation by ocean-going cargo ships to the Port of Stockton.The deepened channel has the effect of increasing hydraulic residencetime by a factor of ten. allowing accumulation of decaying algae andother oxygen demanding substances - which creates a barrier to themigration of anadromous fish. This problem, which manifests itself inlate summer and early autumn, is an impediment to a multimillion dollarhabitat restoration effort for the salmon fishery in the San JoaquinRiver basin (SJRB). A hydrodynamic and water quality model of the Deltaand San Joaquin River forms the basis of the DSS which will provideforecasts of dissolved oxygen sag in the DWSC and provide modelingsupport for management actions such as forced aeration to improvedissolved oxygen concentrations in the Ship Channel. A graphical userinterlace, currently used for displaying flow and salinity forecasts onthe San Joaquin River, is being adapted to allow the display of dissolvedoxygen forecasts and to encourage the formation of a stakeholder-ledentity or institution to adaptively manage the problem.

  2. Simulation Supported Decision Making

    E-Print Network [OSTI]

    611) ­ SSBN Acquisition (Booz, Allen & Hamilton - 3 yrs) ­ Presently with Navy Surface Warfare Center

  3. 1. " The impact of personal and organizational factors on the use of decision support systems by the Jordanian corporations in

    E-Print Network [OSTI]

    of marketing managers in Jordan corporations enrolled in Amman Stock Exchange. A random sample has been in marketing decision - taking at the Jordan corporations with high level. 2- There were no significant the usage level of DSS when taking the marketing decisions. The study recommended the necessity

  4. What Can Meta-Analyses Tell Us About the Reliability of Life Cycle Assessment for Decision Support?

    SciTech Connect (OSTI)

    Brandao, M.; Heath, G.; Cooper, J.

    2012-04-01T23:59:59.000Z

    The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need formore conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support. An emerging trend is meta-analysis of a set of results from LCAs, which has the potential to clarify the impacts of a particular technology, process, product, or material and produce more robust and policy-relevant results. Meta-analysis in this context is defined here as an analysis of a set of published LCA results to estimate a single or multiple impacts for a single technology or a technology category, either in a statistical sense (e.g., following the practice in the biomedical sciences) or by quantitative adjustment of the underlying studies to make them more methodologically consistent. One example of the latter approach was published in Science by Farrell and colleagues (2006) clarifying the net energy and greenhouse gas (GHG) emissions of ethanol, in which adjustments included the addition of coproduct credit, the addition and subtraction of processes within the system boundary, and a reconciliation of differences in the definition of net energy metrics. Such adjustments therefore provide an even playing field on which all studies can be considered and at the same time specify the conditions of the playing field itself. Understanding the conditions under which a meta-analysis was conducted is important for proper interpretation of both the magnitude and variability in results. This special supplemental issue of the Journal of Industrial Ecology includes 12 high-quality metaanalyses and critical reviews of LCAs that advance understanding of the life cycle environmental impacts of different technologies, processes, products, and materials. Also published are three contributions on methodology and related discussions of the role of meta-analysis in LCA. The goal of this special supplemental issue is to contribute to the state of the science in LCA beyond the core practice of producing independent studies on specific products or technologies by highlighting the ability of meta-analysis of LCAs to advance understanding in areas of extensive existing literature. The inspiration for the issue came from a series of meta-analyses of life cycle GHG emissions from electricity generation technologies based on research from the LCA Harmonization Project of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy, which also provided financial support for this special supplemental issue. (See the editorial from this special supplemental issue [Lifset 2012], which introduces this supplemental issue and discusses the origins, funding, peer review, and other aspects.) The first article on reporting considerations for meta-analyses/critical reviews for LCA is from Heath and Mann (2012), who describe the methods used and experience gained in NREL's LCA Harmonization Project, which produced six of the studies in this special supplemental issue. Their harmonization approach adapts key features of systematic review to identify and screen published LCAs followed by a meta-analytical procedure to adjust published estimates to ones based on a consistent set of methods and assumptions to allow interstudy comparisons and conclusions to be made. In a second study on methods, Zumsteg and colleagues (2012) propose a checklist for a sta

  5. ISDA 2004--Budapest Model-Based Autonomy

    E-Print Network [OSTI]

    Sprinkle, Jonathan

    ISDA 2004--Budapest Model-Based Autonomy Jonathan Sprinkle, UC Berkeley127 August 2004 U n i v e r s i t y o f C a l i f o r n i a Berkeley Toward Design Parameterization Support for Model Predictive a Berkeley Model Predictive Control · MPC is a method for restricting/encouraging behavior · A "fortune

  6. Model Based Control Refrigeration Systems

    E-Print Network [OSTI]

    Model Based Control of Refrigeration Systems Ph.D. Thesis Lars Finn Sloth Larsen Central R & D University, Denmark. The work has been carried out at the Central R&D - Refrigeration and Air Conditioning The subject for this Ph.D. thesis is model based control of refrigeration systems. Model based control covers

  7. rillEdge is a software system that provides real-time deci-sion support when drilling oil wells. Decisions are sup-

    E-Print Network [OSTI]

    Aamodt, Agnar

    are combined to provide best practices for how to handle the current situation. Verdande Technology hasD rillEdge is a software system that provides real-time deci- sion support when drilling oil wells on the surface and downhole when drilling. The real-time analysis identifies symptoms of problems, which

  8. Elements of an environmental decision support system for seasonal wetland salt management in a river basin subjected to water quality regulation

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    2009-06-01T23:59:59.000Z

    Seasonally managed wetlands in the Grasslands Basin on the west-side of California's San Joaquin Valley provide food and shelter for migratory wildfowl during winter months and sport for waterfowl hunters during the annual duck season. Surface water supply to these wetlands contain salt which, when drained to the San Joaquin River during the annual drawdown period, can negatively impact water quality and cause concern to downstream agricultural riparian water diverters. Recent environmental regulation, limiting discharges salinity to the San Joaquin River and primarily targeting agricultural non-point sources, now also targets return flows from seasonally managed wetlands. Real-time water quality management has been advocated as a means of continuously matching salt loads discharged from agricultural, wetland and municipal operations to the assimilative capacity of the San Joaquin River. Past attempts to build environmental monitoring and decision support systems (EDSS's) to implement this concept have enjoyed limited success for reasons that are discussed in this paper. These reasons are discussed in the context of more general challenges facing the successful implementation of a comprehensive environmental monitoring, modelling and decision support system for the San Joaquin River Basin.

  9. The external design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research)

    SciTech Connect (OSTI)

    Strand, R.; Cox, T.L.; Sjoreen, A.; Alvic, D.

    1989-05-01T23:59:59.000Z

    The National Center for Toxicological Research (NCTR) is the basic research arm of the US Food and Drug Administration (FDA). The NCTR has upgraded and standardized its computer operations on Digital Equipment Corporation VAX minicomputers using Software AG's ADABAS data base management system for all research applications. The NCTR is currently performing a large study to improve the functionality of the animal husbandry systems and applications called Breeding/Multigeneration Support System (BMSS). When functional, it will operate on VAX equipment using the ADABAS data base management system, TDMS, and COBOL. Oak Ridge National Laboratory (ORNL) is supporting NCTR in the design, prototyping, and software engineering of the BMSS. This document summarizes the external design elements that include data entry screens, screen reports, summary and status reports, and functional definitions of screen and report data. ORNL will provide research support to NCTR in the additional phases of systems life cycle development for BMSS. ORNL has prepared this document according to NCTR's Standard Operating Procedures for Systems Development. 8 figs., 7 tabs.

  10. Enhanced Chemical Incident Response Plan (ECIRP). Appendix F, remediation analysis with Decision Support Tools (DSTs) for wide-area chemical hazards.

    SciTech Connect (OSTI)

    Hassig, Nancy L. (Pacific Northwest National Laboratory, Richland, WA); Pulsipher, Brent A. (Pacific Northwest National Laboratory, Richland, WA); Foltz, Greg W.; Hoette, Trisha Marie

    2011-07-01T23:59:59.000Z

    The Defense Threat Reduction Agency (DTRA) commissioned an assessment of the Consequence Management (CM) plans in place on military bases for response to a chemical attack. The effectiveness of the CM plans for recovering from chemical incidents was modeled using a multiple Decision Support Tools (DSTs). First, a scenario was developed based on an aerial dispersion of a chemical agent over a wide-area of land. The extent of contamination was modeled with the Hazard Prediction and Assessment Capability (HPAC) tool. Subsequently, the Analyzer for Wide Area Restoration Effectiveness (AWARE) tool was used to estimate the cost and time demands for remediation based on input of contamination maps, sampling and decontamination resources, strategies, rates and costs. The sampling strategies incorporated in the calculation were designed using the Visual Sample Plan (VSP) tool. Based on a gaps assessment and the DST remediation analysis, an Enhanced Chemical Incident Response Plan (ECIRP) was developed.

  11. Elements of a decision support system for real-time management ofdissolved oxygen in the San Joaquin River deep water ship channel

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Jacobs, Karl; Chen, Carl W.; Stringfellow, WilliamT.

    2004-07-15T23:59:59.000Z

    A decision support system (DSS) has been designed and will be implemented over the next three years to assist in the control and management of episodes of low dissolved oxygen (DO) in a Deep Water Ship Channel (DWSC), located near Stockton, California. The DSS integrates three information technology functions. The first part is the collection and management of data on flow, pollution loads and water quality. The second part is the simulation model which can forecast the dissolved oxygen sag in the DWSC and determine management actions necessary to improve dissolved oxygen concentrations. The third part is the graphical user interface, which facilitates the computer simulations and posting of the forecasted dissolved oxygen and remedial measures to a stakeholder group for implementations.

  12. Integrated Modeling and Decision-Support System for Water Management in the Puget Sound Basin: Snow Caps to White Caps

    SciTech Connect (OSTI)

    Copping, Andrea E.; Yang, Zhaoqing; Voisin, Nathalie; Richey, Jeff; Wang, Taiping; Taira, Randal Y.; Constans, Michael; Wigmosta, Mark S.; Van Cleve, Frances B.; Tesfa, Teklu K.

    2013-12-31T23:59:59.000Z

    Final Report for the EPA-sponsored project Snow Caps to White Caps that provides data products and insight for water resource managers to support their predictions and management actions to address future changes in water resources (fresh and marine) in the Puget Sound basin. This report details the efforts of a team of scientists and engineers from Pacific Northwest National Laboratory (PNNL) and the University of Washington (UW) to examine the movement of water in the Snohomish Basin, within the watershed and the estuary, under present and future conditions, using a set of linked numerical models.

  13. Use of hazard assessments to support risk-based decision making in the US Department of Energy Stockpile Stewardship (SS-21) Program

    SciTech Connect (OSTI)

    Fischer, S.R.; Konkel, H.; Rainbolt, M.

    1996-04-01T23:59:59.000Z

    This paper summarizes the nuclear explosive hazard assessment activities performed to support the US Department of Energy (DOE) Stockpile Stewardship (SS-21) Integrated Safety or ``Seamless Safety`` program. Past practice within the DOE Complex dictated the use of a significant number of post-design/ fabrication safety reviews to analyze the safety associated with operations on nuclear explosives and to answer safety questions. These practices have focused on reviewing-in or auditing-in safety vs incorporating safety in the design process. SS-21 was proposed by the DOE as an avenue to develop a program to ``integrate established, recognized, verifiable safety criteria into the process at the design stage rather than continuing the reliance on reviews, evaluations and audits.`` The cornerstone of the SS-21 design process is the hazard assessment, which is performed concurrently with process and tooling design. The hazard assessment is used as the key management tool to guide overall risk management associated with the nuclear explosive activity through supporting risk-based decisions made with respect to process design.

  14. Decisionmetrices : dynamic structural estimation of shipping investment decisions

    E-Print Network [OSTI]

    Dikos, George

    2004-01-01T23:59:59.000Z

    This dissertation develops structural models for analyzing shipping investment decisions, namely ordering, scrapping and lay-up decisions in the tanker industry. We develop models, based on a microeconomic specification, ...

  15. Transfer of Physical and Hydraulic Properties Databases to the Hanford Environmental Information System - PNNL Remediation Decision Support Project, Task 1, Activity 6

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Middleton, Lisa A.

    2009-03-31T23:59:59.000Z

    This report documents the requirements for transferring physical and hydraulic property data compiled by PNNL into the Hanford Environmental Information System (HEIS). The Remediation Decision Support (RDS) Project is managed by Pacific Northwest National Laboratory (PNNL) to support Hanford Site waste management and remedial action decisions by the U.S. Department of Energy and one of their current site contractors - CH2M-Hill Plateau Remediation Company (CHPRC). The objective of Task 1, Activity 6 of the RDS project is to compile all available physical and hydraulic property data for sediments from the Hanford Site, to port these data into the Hanford Environmental Information System (HEIS), and to make the data web-accessible to anyone on the Hanford Local Area Network via the so-called Virtual Library.1 These physical and hydraulic property data are used to estimate parameters for analytical and numerical flow and transport models that are used for site risk assessments and evaluation of remedial action alternatives. In past years efforts were made by RDS project staff to compile all available physical and hydraulic property data for Hanford sediments and to transfer these data into SoilVision{reg_sign}, a commercial geotechnical software package designed for storing, analyzing, and manipulating soils data. Although SoilVision{reg_sign} has proven to be useful, its access and use restrictions have been recognized as a limitation to the effective use of the physical and hydraulic property databases by the broader group of potential users involved in Hanford waste site issues. In order to make these data more widely available and useable, a decision was made to port them to HEIS and to make them web-accessible via a Virtual Library module. In FY08 the original objectives of this activity on the RDS project were to: (1) ensure traceability and defensibility of all physical and hydraulic property data currently residing in the SoilVision{reg_sign} database maintained by PNNL, (2) transfer the physical and hydraulic property data from the Microsoft Access database files used by SoilVision{reg_sign} into HEIS, which is currently being maintained by CHRPC, (3) develop a Virtual Library module for accessing these data from HEIS, and (4) write a User's Manual for the Virtual Library module. The intent of these activities is to make the available physical and hydraulic property data more readily accessible and useable by technical staff and operable unit managers involved in waste site assessments and remedial action decisions for Hanford. In FY08 communications were established between PNNL and staff from Fluor-Hanford Co. (who formerly managed HEIS) to outline the design of a Virtual Library module that could be used to access the physical and hydraulic property data that are to be transferred into HEIS. Data dictionaries used by SoilVision{reg_sign} were also provided to Fluor-Hanford personnel (who are now with CHPRC). During ongoing work to ensure traceability and defensibility of all physical and hydraulic property data that currently reside in the SoilVision{reg_sign} database, it was recognized that further work would be required in this effort before the data were actually ported into HEIS. Therefore work on the Virtual Library module development and an accompanying User's Guide was deferred until an unspecified later date. In FY09 efforts have continued to verify the traceability and defensibility of the physical and hydraulic property datasets that are currently being maintained by PNNL. Although this is a work in progress, several of these datasets should be ready for transfer to HEIS in the very near future. This document outlines a plan for the migration of these datasets into HEIS.

  16. Model-based tomographic reconstruction

    DOE Patents [OSTI]

    Chambers, David H.; Lehman, Sean K.; Goodman, Dennis M.

    2012-06-26T23:59:59.000Z

    A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

  17. Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment

    E-Print Network [OSTI]

    Casey Bennett; Thomas Doub; April Bragg; Jason Luellen; Christina Van Regenmorter; Jennifer Lockman; Randall Reiserer

    2011-12-07T23:59:59.000Z

    The CDOI outcome measure - a patient-reported outcome (PRO) instrument utilizing direct client feedback - was implemented in a large, real-world behavioral healthcare setting in order to evaluate previous findings from smaller controlled studies. PROs provide an alternative window into treatment effectiveness based on client perception and facilitate detection of problems/symptoms for which there is no discernible measure (e.g. pain). The principal focus of the study was to evaluate the utility of the CDOI for predictive modeling of outcomes in a live clinical setting. Implementation factors were also addressed within the framework of the Theory of Planned Behavior by linking adoption rates to implementation practices and clinician perceptions. The results showed that the CDOI does contain significant capacity to predict outcome delta over time based on baseline and early change scores in a large, real-world clinical setting, as suggested in previous research. The implementation analysis revealed a number of critical factors affecting successful implementation and adoption of the CDOI outcome measure, though there was a notable disconnect between clinician intentions and actual behavior. Most importantly, the predictive capacity of the CDOI underscores the utility of direct client feedback measures such as PROs and their potential use as the basis for next generation clinical decision support tools and personalized treatment approaches.

  18. Wetland Flow and Salinity Budgets and Elements of a Decision Support System toward Implementation of Real-Time Seasonal Wetland Salinity Management

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Ortega, R.; Rahilly, P.; Johnson, C.B.

    2011-12-17T23:59:59.000Z

    The project has provided science-based tools for the long-term management of salinity in drainage discharges from wetlands to the San Joaquin River. The results of the project are being used to develop best management practices (BMP) and a decision support system to assist wetland managers adjust the timing of salt loads delivered to the San Joaquin River during spring drawdown. Adaptive drainage management scheduling has the potential to improve environmental compliance with salinity objectives in the Lower San Joaquin River by reducing the frequency of violation of Vernalis salinity standards, especially in dry and critically dry years. The paired approach to project implementation whereby adaptively managed and traditional practices were monitored in a side-by-side fashion has provided a quantitative measure of the impacts of the project on the timing of salt loading to the San Joaquin River. The most significant accomplishments of the project has been the technology transfer to wetland biologists, ditch tenders and water managers within the Grasslands Ecological Area. This “learning by doing” has build local community capacity within the Grassland Water District and California Department of Fish and Game providing these institutions with new capability to assess and effectively manage salinity within their wetlands while simultaneously providing benefits to salinity management of the San Joaquin River.

  19. Decision support for disaster management

    E-Print Network [OSTI]

    Rolland, Erik; Patterson, Raymond A.; Ward, Keith; Dodin, Bajis

    2010-01-01T23:59:59.000Z

    Benson 1991; Salewski and Bartsch 1994; Salewski 1995; DodinRes 102:88–110 Salewski F, Bartsch T (1994) A comparison of

  20. Status Report on Transfer of Physical and Hydraulic Properties Databases to the Hanford Environmental Information System - PNNL Remediation Decision Support Project, Task 1, Activity 6

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Middleton, Lisa A.; Cantrell, Kirk J.

    2009-06-30T23:59:59.000Z

    This document provides a status report on efforts to transfer physical and hydraulic property data from PNNL to CHPRC for incorporation into HEIS. The Remediation Decision Support (RDS) Project is managed by Pacific Northwest National Laboratory (PNNL) to support Hanford Site waste management and remedial action decisions by the U.S. Department of Energy and their contractors. The objective of Task 1, Activity 6 of the RDS project is to compile all available physical and hydraulic property data for sediments from the Hanford Site, to port these data into the Hanford Environmental Information System (HEIS), and to make the data web-accessible to anyone on the Hanford Local Area Network via the so-called Virtual Library. These physical and hydraulic property data are used to estimate parameters for analytical and numerical flow and transport models that are used for site risk assessments and evaluation of remedial action alternatives. In past years efforts were made by RDS project staff to compile all available physical and hydraulic property data for Hanford sediments and to transfer these data into SoilVision{reg_sign}, a commercial geotechnical software package designed for storing, analyzing, and manipulating soils data. Although SoilVision{reg_sign} has proven to be useful, its access and use restrictions have been recognized as a limitation to the effective use of the physical and hydraulic property databases by the broader group of potential users involved in Hanford waste site issues. In order to make these data more widely available and useable, a decision was made to port them to HEIS and to make them web-accessible via a Virtual Library module. In FY08 the original objectives of this activity on the RDS project were to: (1) ensure traceability and defensibility of all physical and hydraulic property data currently residing in the SoilVision{reg_sign} database maintained by PNNL, (2) transfer the physical and hydraulic property data from the Microsoft Access database files used by SoilVision{reg_sign} into HEIS, which is currently being maintained by CH2M-Hill Plateau Remediation Company (CHRPC), (3) develop a Virtual Library module for accessing these data from HEIS, and (4) write a User's Manual for the Virtual Library module. The intent of these activities is to make the available physical and hydraulic property data more readily accessible and useable by technical staff and operable unit managers involved in waste site assessments and remedial action decisions for Hanford. In FY08 communications were established between PNNL and staff from Fluor-Hanford Co. (who formerly managed HEIS) to outline the design of a Virtual Library module that could be used to access the physical and hydraulic property data that are to be transferred into HEIS. Data dictionaries used by SoilVision{reg_sign} were also provided to Fluor-Hanford personnel who are now with CHPRC. During ongoing work to ensure traceability and defensibility of all physical and hydraulic property data that currently reside in the SoilVision{reg_sign} database, it was recognized that further work would be required in this effort before the data were actually ported into HEIS. Therefore work on the Virtual Library module development and an accompanying User's Guide was deferred until an unspecified later date. In FY09 efforts have continued to verify the traceability and defensibility of the physical and hydraulic property datasets that are currently being maintained by PNNL. Although this is a work in progress, several of these datasets are now ready for transfer to CHRPC for inclusion in HEIS. The actual loading of data into HEIS is performed by CHPRC staff, so after the data are transferred from PNNL to CHPRC, it will be the responsibility of CHPRC to ensure that these data are loaded and made accessible. This document provides a status report on efforts to transfer physical and hydraulic property data from PNNL to CHPRC for incorporation into HEIS.

  1. Towards a Semantic Infrastructure Supporting Model-based Tool Integration

    E-Print Network [OSTI]

    Hochreiter, Sepp

    -1-58801-18804 {kramler,gerti}@big.tuwien.ac.at T. Reiter, E. Kapsammer, W. Retschitzegger Information Systems Group

  2. Improving Risk Assessment to Support State Energy Infrastructure...

    Energy Savers [EERE]

    Improving Risk Assessment to Support State Energy Infrastructure Decision Making Improving Risk Assessment to Support State Energy Infrastructure Decision Making May 22, 2015 -...

  3. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery

  4. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Steam distillation column Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  5. Kitaev models based on unitary quantum groupoids

    SciTech Connect (OSTI)

    Chang, Liang, E-mail: liangchang@math.tamu.edu [Department of Mathematics, Texas A and M University, College Station, Texas 77843-3368 (United States)] [Department of Mathematics, Texas A and M University, College Station, Texas 77843-3368 (United States)

    2014-04-15T23:59:59.000Z

    We establish a generalization of Kitaev models based on unitary quantum groupoids. In particular, when inputting a Kitaev-Kong quantum groupoid H{sub C}, we show that the ground state manifold of the generalized model is canonically isomorphic to that of the Levin-Wen model based on a unitary fusion category C. Therefore, the generalized Kitaev models provide realizations of the target space of the Turaev-Viro topological quantum field theory based on C.

  6. Dredging Operations Technical Support Program. General decision-making framework for management of dredged material: Example application to Commencement Bay, Washington. Final report

    SciTech Connect (OSTI)

    Lee, C.R.; Tatem, H.E.; Brandon, D.L.; Kay, S.H.; Peddicord, R.K.

    1991-06-01T23:59:59.000Z

    Navigable waterways of the United States have a vital role in the Nation's economic growth. The US Army Corps of Engineers is responsible for the dredging and disposal of large volumes of sediment each year. Dredging is a process by which sediments are removed from the bottom of streams, rivers, lakes, and coastal waters, transported via ship, barge, or pipeline, and discharged to land or water. The presence of contamination in some locations has generated concern that dredged material disposal may adversely affect water quality and aquatic organisms or terrestrial organisms. Since many of the waterways are located in industrial and urban areas, some sediments may be highly contaminated with hazardous materials. A general decision-making framework based on the results of technically sound tests protocols is described. The decision-making framework includes consideration of sediment chemistry, physical chemistry of disposal site environments, and biological effects of sediment contaminants, as well as comparison of test results from sediments to be dredged with test results from reference sediments and with established criteria. The framework provides the basis for selection of the environmentally preferable disposal alternative and for identification of potentially appropriate control measures to minimize problems associated with the presence of contaminants.

  7. Model-Based Transient Calibration Optimization for Next Generation...

    Broader source: Energy.gov (indexed) [DOE]

    Model-Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel...

  8. Demonstrating and Validating a Next Generation Model-Based Controller...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Validating a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for...

  9. application models based: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the potentials and limits Bryson, Joanna J. 2 Model-Based Vulnerability Testing for Web Applications Physics Websites Summary: Model-Based Vulnerability Testing for Web...

  10. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Distillation Column FI Model Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  11. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning

  12. Optimal Model-Based Production Planning for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor to refinery profit and economics Refinery production planning models Operation optimization Crude selection Integrate scheduling into planning model Current Project collaboration with BP Goal: develop a refinery

  13. Journal of Decision Systems. A cooperative intelligent decision support

    E-Print Network [OSTI]

    Winckler, Marco Antonio Alba

    combustion is one of the most critical systems for the good functioning of GLZ-I oil plant. It has a high combustion management based on a distributed architecture Abdelkader Adla*,** -- Jean-Luc Soubie*-- Pascale, Distributed DSS. RESUME: Le système de gestion de combustion des chaudières est un des systèmes les plus

  14. A Computational Model based on Gross' Emotion Regulation Theory1 Tibor Bosse (tbosse@few.vu.nl)

    E-Print Network [OSTI]

    Treur, Jan

    A Computational Model based on Gross' Emotion Regulation Theory1 Tibor Bosse (tbosse for emotion regulation by formalizing the model informally described by Gross (1998). The model has been of emotional response) and qualitative aspects (such as decisions to regulate one's emotion). This model

  15. An approach to model validation and model-based prediction -- polyurethane foam case study.

    SciTech Connect (OSTI)

    Dowding, Kevin J.; Rutherford, Brian Milne

    2003-07-01T23:59:59.000Z

    Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift toward the use of computational methods has brought with it new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report we have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing our model validation and prediction developmental efforts on this specific thermal application. We discuss several elements of the ''philosophy'' behind the validation and prediction approach: (1) We view the validation process as an activity applying to the use of a specific computational model for a specific application. We do acknowledge, however, that an important part of the overall development of a computational simulation initiative is the feedback provided to model developers and analysts associated with the application. (2) We utilize information obtained for the calibration of model parameters to estimate the parameters and quantify uncertainty in the estimates. We rely, however, on validation data (or data from similar analyses) to measure the variability that contributes to the uncertainty in predictions for specific systems or units (unit-to-unit variability). (3) We perform statistical analyses and hypothesis tests as a part of the validation step to provide feedback to analysts and modelers. Decisions on how to proceed in making model-based predictions are made based on these analyses together with the application requirements. Updating modifying and understanding the boundaries associated with the model are also assisted through this feedback. (4) We include a ''model supplement term'' when model problems are indicated. This term provides a (bias) correction to the model so that it will better match the experimental results and more accurately account for uncertainty. Presumably, as the models continue to develop and are used for future applications, the causes for these apparent biases will be identified and the need for this supplementary modeling will diminish. (5) We use a response-modeling approach for our predictions that allows for general types of prediction and for assessment of prediction uncertainty. This approach is demonstrated through a case study supporting the assessment of a weapons response when subjected to a hydrocarbon fuel fire. The foam decomposition model provides an important element of the response of a weapon system in this abnormal thermal environment. Rigid foam is used to encapsulate critical components in the weapon system providing the needed mechanical support as well as thermal isolation. Because the foam begins to decompose at temperatures above 250 C, modeling the decomposition is critical to assessing a weapons response. In the validation analysis it is indicated that the model tends to ''exaggerate'' the effect of temperature changes when compared to the experimental results. The data, however, are too few and to restricted in terms of experimental design to make confident statements regarding modeling problems. For illustration, we assume these indications are correct and compensate for this apparent bias by constructing a model supplement term for use in the model-based predictions. Several hypothetical prediction problems are created and addressed. Hypothetical problems are used because no guidance was provided concern

  16. Model-Based Sampling and Inference

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy,off)Thousand CubicWellheadModel-Based

  17. Model-Based Engineering and Manufacturing CAD/CAM Benchmark.

    SciTech Connect (OSTI)

    Domm, T.C.; Underwood, R.S.

    1999-10-13T23:59:59.000Z

    The Benchmark Project was created from a desire to identify best practices and improve the overall efficiency and performance of the Y-12 Plant's systems and personnel supporting the manufacturing mission. The mission of the benchmark team was to search out industry leaders in manufacturing and evaluate their engineering practices and processes to determine direction and focus for Y-12 modernization efforts. The companies visited included several large established companies and a new, small, high-tech machining firm. As a result of this effort, changes are recommended that will enable Y-12 to become a more modern, responsive, cost-effective manufacturing facility capable of supporting the needs of the Nuclear Weapons Complex (NWC) into the 21st century. The benchmark team identified key areas of interest, both focused and general. The focus areas included Human Resources, Information Management, Manufacturing Software Tools, and Standards/Policies and Practices. Areas of general interest included Infrastructure, Computer Platforms and Networking, and Organizational Structure. The results of this benchmark showed that all companies are moving in the direction of model-based engineering and manufacturing. There was evidence that many companies are trying to grasp how to manage current and legacy data. In terms of engineering design software tools, the companies contacted were somewhere between 3-D solid modeling and surfaced wire-frame models. The manufacturing computer tools were varied, with most companies using more than one software product to generate machining data and none currently performing model-based manufacturing (MBM) from a common model. The majority of companies were closer to identifying or using a single computer-aided design (CAD) system than a single computer-aided manufacturing (CAM) system. The Internet was a technology that all companies were looking to either transport information more easily throughout the corporation or as a conduit for business, as the small firm was doing successfully.

  18. Decision support for the general aviation pilot 

    E-Print Network [OSTI]

    Alcorn, W. P.; Lee, K. A.; Ward, D. T.; Trang, J. A.; Krishnamurthy, K.; Crump, J. W.; Branham, P. A.; Woo, D. L. Y.; Ren-Jye Yu; Robbins, A. C.; Painter, John H.; Kelly, W. E. III

    1997-10-12T23:59:59.000Z

    simulator. Pilot participation in all phases of development and evaluation is the norm. Flight tests have begun on an instrumented research light twin owned by the 0-7803-4053-1/97/$10.00 @ 1997 IEEE products A d services.? factor, a component... will depend on how successful the industry is in stimulating the development of new general aviation Authorized licensed use limited to: Texas A M University. Downloaded on February 16,2010 at 15:01:09 EST from IEEE Xplore. Restrictions apply...

  19. Sandia National Laboratories: Decision Support for Integrated...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    platforms (i.e., system dynamics to detailed energywater management models) with geospatial databases and visualization tools. Further, this framework will integrate analysis...

  20. Decision Support System for Fighter Pilots

    E-Print Network [OSTI]

    parts of the electronic warfare domain. A brief description of this domain is given. It contains is detected the pilot may choose to deploy electronic countermeasures to avoid the impact of the missile, and the availability of countermeasures. Radar systems, guidance of missiles, and electronic countermeasures are all

  1. ILLINOIS RAILROAD ENGINEERING A Quantitative Decision Support

    E-Print Network [OSTI]

    Barkan, Christopher P.L.

    between capital investment and delay cost Link (sub) properties Alternatives generator Capacity expansion alternatives (cost & additional capacity) Estimated future traffic (trains/day/OD) Budget Investment Selection: ­ Infrastructure ­ Equipment ­ Train dispatching, traffic mix ­ Human resources Network Capacity must be increased

  2. Name, title of the presentation Decision Support

    E-Print Network [OSTI]

    is not straight forward ­ Conflicting goals ­ Insufficient information available (uncertainty) on the security that the security risks have on the system behaviour ­ Insufficient information available (uncertainty) ­ Insufficient information available (uncertainty) related to the actual effect of various alternative security

  3. Submitted to Decision Support Systems manuscript DSS

    E-Print Network [OSTI]

    Cengarle, María Victoria

    stimulation and churn management are examples of DSS applications, where centrality of customers does play topology and diffusion process. The simple out-degree centrality performed well in all treatments. Key for tasks such as churn prediction or campaign management to raise product or brand awareness [6

  4. Integrated decision support model for global sourcing

    E-Print Network [OSTI]

    Mroczkowski, Victor A. (Victor Adam)

    2008-01-01T23:59:59.000Z

    Over the last decade, the U.S. aircraft industry has experienced increasing levels of international integration as companies seek to access global talent and resources, cut production costs, spread financial risk, and ...

  5. Decision support for the general aviation pilot

    E-Print Network [OSTI]

    Alcorn, W. P.; Lee, K. A.; Ward, D. T.; Trang, J. A.; Krishnamurthy, K.; Crump, J. W.; Branham, P. A.; Woo, D. L. Y.; Ren-Jye Yu; Robbins, A. C.; Painter, John H.; Kelly, W. E. III

    1997-10-12T23:59:59.000Z

    years, encouraging the FAA to predict a growth in the active aircraft fleet of over 15,000 units between 1996 and 2008 [3]. But this rosy growth pattern is based on a number of assumptions, and the report warns, ?...the actual rate of growth... is necessary for flight certification. The flight test evaluation to be flown this Fall is the final step in system evolution before it goes into the FAA certification, the last step in transforming this prototype software into a commercial product...

  6. On Model Based Synthesis of Embedded Control Software Vadim Alimguzhin

    E-Print Network [OSTI]

    Tronci, Enrico

    Model Based Design approaches for control software. Given the formal model of a plant as a Discrete Time addresses model based synthesis of control software by trading system level non-functional requirementsOn Model Based Synthesis of Embedded Control Software Vadim Alimguzhin Federico Mari Igor Melatti

  7. Energy Band Model Based on Effective Mass

    E-Print Network [OSTI]

    Viktor Ariel

    2012-09-06T23:59:59.000Z

    In this work, we demonstrate an alternative method of deriving an isotropic energy band model using a one-dimensional definition of the effective mass and experimentally observed dependence of mass on energy. We extend the effective mass definition to anti-particles and particles with zero rest mass. We assume an often observed linear dependence of mass on energy and derive a generalized non-parabolic energy-momentum relation. The resulting non-parabolicity leads to velocity saturation at high particle energies. We apply the energy band model to free relativistic particles and carriers in solid state materials and obtain commonly used dispersion relations and experimentally confirmed effective masses. We apply the model to zero rest mass particles in graphene and propose using the effective mass for photons. Therefore, it appears that the new energy band model based on the effective mass can be applied to relativistic particles and carriers in solid state materials.

  8. Model based control of a coke battery

    SciTech Connect (OSTI)

    Stone, P.M.; Srour, J.M.; Zulli, P. [BHP Research, Mulgrave (Australia). Melbourne Labs.; Cunningham, R.; Hockings, K. [BHP Steel, Pt Kembla, New South Wales (Australia). Coal and Coke Technical Development Group

    1997-12-31T23:59:59.000Z

    This paper describes a model-based strategy for coke battery control at BHP Steel`s operations in Pt Kembla, Australia. The strategy uses several models describing the battery thermal and coking behavior. A prototype controller has been installed on the Pt Kembla No. 6 Battery (PK6CO). In trials, the new controller has been well accepted by operators and has resulted in a clear improvement in battery thermal stability, with a halving of the standard deviation of average battery temperature. Along with other improvements to that battery`s operations, this implementation has contributed to a 10% decrease in specific battery energy consumption. A number of enhancements to the low level control systems on that battery are currently being undertaken in order to realize further benefits.

  9. IBRD Operational Decision Framework

    SciTech Connect (OSTI)

    Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J

    2010-11-12T23:59:59.000Z

    The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.

  10. The Model-based Approach to Computer-aided Medical Decision

    E-Print Network [OSTI]

    Lucas, Peter

    ­ p.10/23 #12;Chain Graph Example Influenza (I) causes coughing (C), where coughing is known as a possible cause for hoarseness (H). In addition, coughing is known to be associated with dyspnoea (shortness

  11. The Model-based Approach to Computer-aided Medical Decision

    E-Print Network [OSTI]

    Lucas, Peter

    Kinds of causal interaction Synergy: POLUTION - CANCER - SMOKING Prevention: VACCINE - DEATH - SMALLPOX

  12. Seismic transient deconvolution with model-based signal processing

    SciTech Connect (OSTI)

    Tague, J.A.; Schutz, K.D. [Ohio Univ., Athens, OH (United States). Dept. of Electrical and Computer Engineering] [Ohio Univ., Athens, OH (United States). Dept. of Electrical and Computer Engineering

    1997-07-01T23:59:59.000Z

    Short duration seismic disturbances, obscured by earth noise and distorted by the seismometers used to measure them, can be reconstructed using model-based signal processing. Model based means that mathematical models of the seismic transient, earth noise, and seismometer dynamics are infused into the signal processor that estimates the disturbance. The processor imposes no predetermined structure on the transient and the earth noise need not be white. Model-based processors produce good quality estimates for a broad class of transient waveforms.

  13. Organizational and Individual Decision Making Organizational and Individual Decision Making

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Organizational and Individual Decision Making Organizational and Individual Decision Making Citation: Kathleen M. Carley & Dean Behrens, 1999, "Organizational and Individual Decision Making." Ch. 18, Inc. #12;Organizational and Individual Decision Making Organizational and Individual Decision Making

  14. BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS

    E-Print Network [OSTI]

    Seepersad, Carolyn Conner

    - Page 1 - BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS Zhiguang Qian is taken to integrate data from approximate and detailed simulations to build a surrogate model approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian

  15. Fuel Cell System Improvement for Model-Based Diagnosis Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which

  16. Analysis and Model-Based Control of Servomechanisms With Friction

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    Analysis and Model-Based Control of Servomechanisms With Friction Evangelos G. Papadopoulos e Engineering, National Technical University of Athens, 15780 Athens, Greece Friction is responsible for several, model-based feedback compensation is studied for servomechanism tracking tasks. Several kinetic friction

  17. Model-based Lifecycle Optimization of Well Locations

    E-Print Network [OSTI]

    Van den Hof, Paul

    Model-based Lifecycle Optimization of Well Locations and Production Settings in Petroleum Reservoirs #12;#12;MODEL-BASED LIFECYCLE OPTIMIZATION OF WELL LOCATIONS AND PRODUCTION SETTINGS IN PETROLEUM System Approach Petroleum Production" (ISAPP) programme. The knowledge center is a long-term co

  18. Model-based Quality Assurance of Automotive Software

    E-Print Network [OSTI]

    Jurjens, Jan

    CASE tool by ETAS · Used in automotive industry · Event-driven operational model #12;Jan Jürjens et alModel-based Quality Assurance of Automotive Software Jan Jürjens1 , Daniel Reiss2 , David (Germany) #12;Jan Jürjens et al.: Model-based Quality Assurance of Automotive Software 2 The Problem (Meta

  19. Model Structure Analysis for Model-based Operation of

    E-Print Network [OSTI]

    Van den Hof, Paul

    conducted in the framework of the "Integrated System Approach Petroleum Production" (ISAPP) programmeModel Structure Analysis for Model-based Operation of Petroleum Reservoirs #12;#12;MODEL STRUCTURE ANALYSIS FOR MODEL-BASED OPERATION OF PETROLEUM RESERVOIRS PROEFSCHRIFT ter verkrijging van de graad van

  20. Model-Based Evaluation: From Dependability to Security

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    1 Model-Based Evaluation: From Dependability to Security David M. Nicol, Fellow, IEEE, William H, discrete- event simulation. The use of quantitative techniques for security evaluation is much less common for quantitative, model-based evaluation of computer system dependability has a long and rich history. A wide array

  1. Model Based Control of Refrigeration Systems

    E-Print Network [OSTI]

    Lars Finn; Sloth Larsen; Central R

    2005-01-01T23:59:59.000Z

    Thybo has supervised the work. I would especially like to express my gratitude to my good friend, dive mate, college and supervisor Claus Thybo, for his invaluable help, support and inspiration. His guidance and support has truly been ideal. Without his presence this project would not have been at all and it wouldn’t have been so enjoyable. I would like to thank Jakob Stoustrup for sharing of his profound knowledge within control theory, that has improved the acad-emic level of this thesis. Moreover I would like to thank Henrik Rasmussen, who has more than a lifetimes experience within application of control theory. His sincere and eager interest in my work has truly been a source of inspiration. I would like to thank Professor Manfred Morari for giving me the opportunity to stay at the Automatic Control Laboratory, ETH Zürich and for giving me valuable guidance while I was there. I was amazed by the unique scientific milieu and the high academic level there. I would especially like to thank Tobias Geyer, who contributed with many ideas and a lot of help, while I was at the ETH. I would furthermore like to thank him for taking of his valuable time at the ending of his Ph.D.-study to come and visit Danfoss

  2. Agent Based Models for Enterprise Wide Optimization and Decision SupportOptimization and Decision Support

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Chain Enterprise · Refinery (re)scheduling · Disruption management Planning / Scheduling Supply Chain sourcing Primary production Secondary production Warehouses Retailers Customers 11 #12;Refinery Supply Chain Logistics Provider C Refinery BLogistics Naphtha Brent CrudeProvider A Ethylene Refinery

  3. Binaural model-based speech intelligibility enhancement and assessment in

    E-Print Network [OSTI]

    #12;Binaural model-based speech intelligibility enhancement and assessment in hearing aids beamforming and the effect on binaural cues and speech intelligibility . . . . . . . . . . 31 2.3.4 Cepstral smoothing of masks . . . . . . . . . . . . . . . . . . 35 2.4 Binaural CASA speech

  4. Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking

    E-Print Network [OSTI]

    Nebel, Bernhard

    Qualitative Reasoning Feeding Back into Quantitative Model-Based Tracking Christian K¨ohler, 1- bilize basic signal processing and pattern recognition processes like the reliable extraction of some

  5. Automated verification of model-based programs under uncertainty

    E-Print Network [OSTI]

    Mahtab, Tazeen, 1981-

    2004-01-01T23:59:59.000Z

    Highly robust embedded systems have been enabled through software executives that have the ability to reason about their environment. Those that employ the model-based autonomy paradigm automatically diagnose and plan ...

  6. A Geothermal Field Model Based On Geophysical And Thermal Prospectings...

    Open Energy Info (EERE)

    Model Based On Geophysical And Thermal Prospectings In Nea Kessani (Ne Greece) Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: A Geothermal...

  7. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

    E-Print Network [OSTI]

    Williams, Brian C.

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  8. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005

    E-Print Network [OSTI]

    Williams, Brian

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  9. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring

    SciTech Connect (OSTI)

    Rodgers, A; Harris, D; Pasyanos, M

    2007-03-14T23:59:59.000Z

    This report describes research performed under Laboratory Research and Development Project 05-ERD-019, entitled ''A New Capability for Regional High-Frequency Seismic Wave Simulation in Realistic Three-Dimensional Earth Models to Improve Nuclear Explosion Monitoring''. A more appropriate title for this project is ''A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring''. This project supported research for a radically new approach to nuclear explosion monitoring as well as allowed the development new capabilities in computational seismology that can contribute to NNSA/NA-22 Programs.

  10. Decision insight into stakeholder conflict for ERN.

    SciTech Connect (OSTI)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

    2012-02-01T23:59:59.000Z

    Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  11. Robust Markov Decision Processes

    E-Print Network [OSTI]

    2012-02-09T23:59:59.000Z

    Probability and Measure. Wiley Blackwell, 1995. [8] E. Delage and S. Mannor. Percentile optimization for Markov decision processes with parameter uncertainty

  12. Model-Based and Prototyping-Driven User Interface Specification to Support Collaboration and Creativity

    E-Print Network [OSTI]

    Reiterer, Harald

    [Metzker et al., 2002]. This structure should be reflected in the Software Development Life Cycle (SDLC methods are not sufficiently embedded in the overall SDLC. If they are integrated, their contribution

  13. International Entry Decision for Design Firms

    E-Print Network [OSTI]

    Tohidi Vahdat, Amin

    2013-11-22T23:59:59.000Z

    Contractors TCE Transaction Cost Economics vii TABLE OF CONTENT Page ABSTRACT .......................................................................................................................ii DEDICATION... as ? Transaction Cost Economics Theory (TCE) ? International risk management ? Decision support system for international projects ? Organizational issues in global projects This research required an extensive literature review on global AEC projects as well...

  14. Predictive clothing insulation model based on outdoor air and indoor operative temperatures

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2012-01-01T23:59:59.000Z

    2012) Predictive clothing insulation model based on outdoorPredictive clothing insulation model based on outdoor airpredictive models of clothing insulation have been developed

  15. Model-based Enhancement of Lighting Conditions in Image Sequences

    E-Print Network [OSTI]

    Eisert, Peter

    under different lighting conditions which complicates the comparison severely [1­3]. Similarly, 3-DModel-based Enhancement of Lighting Conditions in Image Sequences Peter Eisert and Bernd Girod model-based technique for estimating and manipulating the lighting in an image sequence. The current

  16. Expediting model-based optoacoustic reconstructions with tomographic symmetries

    SciTech Connect (OSTI)

    Lutzweiler, Christian; Deán-Ben, Xosé Luís; Razansky, Daniel, E-mail: dr@tum.de [Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstrasse 1, 85764 Neuherberg (Germany) [Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstrasse 1, 85764 Neuherberg (Germany); Faculty of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich (Germany)

    2014-01-15T23:59:59.000Z

    Purpose: Image quantification in optoacoustic tomography implies the use of accurate forward models of excitation, propagation, and detection of optoacoustic signals while inversions with high spatial resolution usually involve very large matrices, leading to unreasonably long computation times. The development of fast and memory efficient model-based approaches represents then an important challenge to advance on the quantitative and dynamic imaging capabilities of tomographic optoacoustic imaging. Methods: Herein, a method for simplification and acceleration of model-based inversions, relying on inherent symmetries present in common tomographic acquisition geometries, has been introduced. The method is showcased for the case of cylindrical symmetries by using polar image discretization of the time-domain optoacoustic forward model combined with efficient storage and inversion strategies. Results: The suggested methodology is shown to render fast and accurate model-based inversions in both numerical simulations andpost mortem small animal experiments. In case of a full-view detection scheme, the memory requirements are reduced by one order of magnitude while high-resolution reconstructions are achieved at video rate. Conclusions: By considering the rotational symmetry present in many tomographic optoacoustic imaging systems, the proposed methodology allows exploiting the advantages of model-based algorithms with feasible computational requirements and fast reconstruction times, so that its convenience and general applicability in optoacoustic imaging systems with tomographic symmetries is anticipated.

  17. Model-Based Dependability Analysis of Programmable Drug Infusion Pumps

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs

  18. Model-based experimental analysis for inter-polymer process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ) + Polyethylene (PE) ARCEL TOUGH FLEXIBLE Advanced packaging material Interpenetrating polymer network productModel-based experimental analysis for inter-polymer process CMU: Weijie Lin, Lorenz T. Biegler processed in a sequential way Polymer A Polymer B Project overview Inter-polymer process #12;Project

  19. A taxonomy for simulation modeling based on programming language principles

    E-Print Network [OSTI]

    Mukherjee, Amlan

    A taxonomy for simulation modeling based on programming language principles PAUL A. FISHWICK many diverse areas employ simulation models, no agreed-upon taxonomy has been developed to categorize than the design structure of the model. We present a uniform model design taxonomy whose categories

  20. MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform

    E-Print Network [OSTI]

    Johnson, Michael T.

    MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform For Speech Enhancement A THESIS. Therefore applying this method to speech enhancement may lead to a promising future in this field. Spectral subtraction methods have been widely used in speech enhancement, but all are notorious for unexpected music

  1. Extracting Business Rules from COBOL: A Model-Based Tool

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extracting Business Rules from COBOL: A Model-Based Tool Valerio Cosentino AtlanMod, INRIA, EMN and we provide a set of model transformations to identify and visualize the embedded business rules at this point. This model will be then manipulated in the next steps to extract the business rules

  2. Extracting Business Rules from COBOL: A Model-Based Framework

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extracting Business Rules from COBOL: A Model-Based Framework Valerio Cosentino AtlanMod, INRIA in their Information Systems for their daily operations. This logic im- plements the business rules in place clear which business rules are enforced nor whether rules are still consistent with the current

  3. Evaluating the Effectiveness of Model-Based Power Characterization

    E-Print Network [OSTI]

    Snoeren, Alex

    a model of the system that describes power consump- tion in terms of power states and attributing in measured power draw. Previous work on power modeling has focused on modeling total system power consumptionEvaluating the Effectiveness of Model-Based Power Characterization John C. McCullough, Yuvraj

  4. Analysis of Time Series Using Compact Model-Based Descriptions

    E-Print Network [OSTI]

    Kriegel, Hans-Peter

    Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily

  5. Toward optimized code generation through model-based optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha.gerard, francois.terrier}@cea.fr Pierre Boulet LIFL, CNRS/INRIA, Université de Lille 1, Parc de la Haute Borne, Bât tools like synthesis of system's application by automatic code generation. Real-Time and Embedded

  6. A conformance relation for model-based testing of PLC

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A conformance relation for model-based testing of PLC Anais Guignard Jean-Marc Faure Ecole-marc.faure@lurpa.ens-cachan.fr) Abstract: This paper focuses on the execution of conformance testing of PLC with I/O scanning which of conformance test of real devices, like Pro- grammable Logic Controllers (PLC 1 ) that execute a con- trol code

  7. Model Based Vehicle Tracking for Autonomous Driving in Urban Environments

    E-Print Network [OSTI]

    Model Based Vehicle Tracking for Autonomous Driving in Urban Environments Anna Petrovskaya environments. This paper describes moving vehicle tracking module that we developed for our autonomous driving in this area. DARPA has organized a series of competitions for autonomous vehicles. In 2005, autonomous

  8. Genotyping of single nucleotide polymorphism using model-based clustering

    E-Print Network [OSTI]

    Eguchi, Shinto

    Genotyping of single nucleotide polymorphism using model-based clustering H. Fujisawa1 , S. Eguchi1-8455, Japan ABSTRACT Motivation: Single nucleotide polymorphisms have been investigated as biological markers Single nucleotide polymorphisms (SNPs) have been in- vestigated as biological markers to identify

  9. Model based dependability evaluation for automotive control functions

    E-Print Network [OSTI]

    Schlingloff, Holger

    Model based dependability evaluation for automotive control functions Sasa Vulinovic 1 , Bernd@informatik.hu-berlin.de Abstract In this paper, we study the evaluation of reliability for embedded functions in automotive. In order to assess fault tolerant designs for automotive software it is essential to be able to predict

  10. Model-Based Quality Assurance of Automotive Software

    E-Print Network [OSTI]

    Jurjens, Jan

    Model-Based Quality Assurance of Automotive Software Jan Jürjens1 , Daniel Reiß2 , and David, Germany Abstract. Software in embedded (e.g. automotive) systems requires a high level of reliability to the automotive sector, characterized by strict safety requirements to com- ponents of a motor vehicle (see [5, 16

  11. ADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS

    E-Print Network [OSTI]

    Boucherie, Richard J.

    .j.boucherie@utwente.nl Abstract In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge in the Netherlands. An important step in the commonly applied biological wastewater treatment processADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS Arie de Niet1 , Maartje van de Vrugt2

  12. Implementing Motor Decision Plans

    E-Print Network [OSTI]

    Elliott, R. N.

    The first step to reducing energy costs and increasing reliability in motors is to establish a motor plan. A motor plan allows decisions to be made in advance of motor failure, and increases the options available. By contrast, most motor decisions...

  13. artificial nutritional support: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    different diet types were used Boudouresque, Charles F. 4 WeAidU -A decision support system for myocardial perfusion images using artificial Physics Websites Summary: of the...

  14. Model Based Signal Processing Algorithm for MIDP GPR

    E-Print Network [OSTI]

    Kansas, University of

    ACKNOWLEDGMENTS This work was supported by the Jet Propulsion Laboratory, National Aeronautics and Space

  15. Sustainability Support

    Broader source: Energy.gov [DOE]

    Sustainability Support serves as a corporate technical assistance, coordination, and integration resource to support line organizations in the resolution of sustainability issues and management concerns.

  16. Social network support for data delivery infrastructures

    E-Print Network [OSTI]

    Sastry, Nishanth Ramakrishna

    2011-10-11T23:59:59.000Z

    in social networks can be used to tailor content staging decisions to the user base and thereby build better data delivery infrastructures. This claim is supported by two case studies, which apply social information in challenging situations where...

  17. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01T23:59:59.000Z

    This thesis explores the impact of individual decision making on the functioning of firms and markets. The first chapter examines how deviations from strict rationality by individuals impact the market for consumer goods. ...

  18. Industrial Decision Making 

    E-Print Network [OSTI]

    Elliott, R. N.; McKinney, V.; Shipley, A.

    2008-01-01T23:59:59.000Z

    and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?...

  19. UNDERSTANDING HOME RENOVATION DECISIONS

    E-Print Network [OSTI]

    Watson, Andrew

    UNDERSTANDING HOME RENOVATION DECISIONS - A Research Project - Background to Our Research Energy to renovate their homes. We're interested in energy efficiency, but in all other efficient renova/ons can lower energy bills, improve comfort by reducing dra

  20. APPLICATION OF GENEALOGICAL DECISION TREES FOR OPEN-LOOP TRACKING CONTROL

    E-Print Network [OSTI]

    Del Moral , Pierre

    APPLICATION OF GENEALOGICAL DECISION TREES FOR OPEN-LOOP TRACKING CONTROL Enso Ikonen !,1 Kaddour on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates supported by UK EPSRC Research cluster project, grant nro GR/S63779/01 Genealogical decision trees belong

  1. Hot blast stove process model and model-based controller

    SciTech Connect (OSTI)

    Muske, K.R. [Villanova Univ., PA (United States). Dept. of Chemical Engineering; Howse, J.W.; Hansen, G.A.; Cagliostro, D.J. [Los Alamos National Lab., NM (United States). Computational Science Methods Group; Chaubal, P.C. [Inland Steel Industries, Inc., East Chicago, IN (United States). Research Labs.

    1998-12-31T23:59:59.000Z

    This paper describes the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer model of the stoves is developed and verified using plant data. This model is used as part of a predictive control scheme to determine the minimum amount of fuel necessary to achieve the blast air requirements. The model is also used to predict maximum and minimum temperature constraint violations within the stove so that the controller can take corrective actions while still achieving the required stove performance.

  2. Model-based Processing of Microcantilever Sensor Arrays

    SciTech Connect (OSTI)

    Tringe, J W; Clague, D S; Candy, J V; Sinensky, A K; Lee, C L; Rudd, R E; Burnham, A K

    2005-04-27T23:59:59.000Z

    We have developed a model-based processor (MBP) for a microcantilever-array sensor to detect target species in solution. We perform a proof-of-concept experiment, fit model parameters to the measured data and use them to develop a Gauss-Markov simulation. We then investigate two cases of interest, averaged deflection data and multi-channel data. For this evaluation we extract model parameters via a model-based estimation, perform a Gauss-Markov simulation, design the optimal MBP and apply it to measured experimental data. The performance of the MBP in the multi-channel case is evaluated by comparison to a ''smoother'' (averager) typically used for microcantilever signal analysis. It is shown that the MBP not only provides a significant gain ({approx} 80dB) in signal-to-noise ratio (SNR), but also consistently outperforms the smoother by 40-60 dB. Finally, we apply the processor to the smoothed experimental data and demonstrate its capability for chemical detection. The MBP performs quite well, apart from a correctable systematic bias error.

  3. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01T23:59:59.000Z

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.

  4. Key challenges to model-based design : distinguishing model confidence from model validation

    E-Print Network [OSTI]

    Flanagan, Genevieve (Genevieve Elise Cregar)

    2012-01-01T23:59:59.000Z

    Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...

  5. Model-Based Mediation with Domain Maps Bertram Ludascher? Amarnath Gupta? Maryann E. Martonez

    E-Print Network [OSTI]

    Ludäscher, Bertram

    Model-Based Mediation with Domain Maps Bertram Lud¨ascher? Amarnath Gupta? Maryann E. Martonez ?San

  6. A Bayesian sequential processor approach to spectroscopic portal system decisions

    SciTech Connect (OSTI)

    Sale, K; Candy, J; Breitfeller, E; Guidry, B; Manatt, D; Gosnell, T; Chambers, D

    2007-07-31T23:59:59.000Z

    The development of faster more reliable techniques to detect radioactive contraband in a portal type scenario is an extremely important problem especially in this era of constant terrorist threats. Towards this goal the development of a model-based, Bayesian sequential data processor for the detection problem is discussed. In the sequential processor each datum (detector energy deposit and pulse arrival time) is used to update the posterior probability distribution over the space of model parameters. The nature of the sequential processor approach is that a detection is produced as soon as it is statistically justified by the data rather than waiting for a fixed counting interval before any analysis is performed. In this paper the Bayesian model-based approach, physics and signal processing models and decision functions are discussed along with the first results of our research.

  7. Decision Analysis System for Selection of Appropriate Decontamination Technologies

    SciTech Connect (OSTI)

    Ebadian, M.A.; Boudreaux, J.F.; Chinta, S.; Zanakis, S.H.

    1998-01-01T23:59:59.000Z

    The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites.

  8. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01T23:59:59.000Z

    The present work looks into the question of optimizing the performance of product launch decisions-in particular, the decisions of product development duration and manufacturing ramp-up. It presents an innovative model for ...

  9. Energy Signal Tool for Decision Support in Building Energy Systems

    SciTech Connect (OSTI)

    Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I.

    2014-12-01T23:59:59.000Z

    A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use that is either substantially different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing expected to actual energy use. As expected, energy use is necessarily uncertain; we cannot choose the appropriate light with certainty. Instead, the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study was devised to assess whole-building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole-building level that are not detectable without submetering.

  10. Human-Automation Path Planning Optimization and Decision Support

    E-Print Network [OSTI]

    Cummings, M.L.

    2011-01-01T23:59:59.000Z

    Path planning is a problem encountered in multiple domains, including unmanned vehicle control, air traffic control, and future exploration missions to the Moon and Mars. Due to the voluminous and complex nature of the ...

  11. "LIFE OF FIELD" DEVELOPMENT DECISIONS, DOE-SUPPORTED SIMULATION SOFTWARE

    E-Print Network [OSTI]

    Thompson, Anne

    -friendly versions of two reservoir simulators originally developed by DOE ­ BOAST and CO2 PROPHET ­ can be used, Polymer flooding, ASP or lower concentration flooding, and CO2). WHO SHOULD ATTEND Petroleum Engineers, and ultimately enhanced oil recovery (EOR) processes. DOE-developed simulation software packages

  12. FUTURE POWER GRID INITIATIVE Decision Support for Future

    E-Print Network [OSTI]

    data to generate and share mission-critical analysis and insights. November 2012 PNNL-SA-90020 Gariann Gelston Pacific Northwest National Laboratory (509) 372-4480 gariann.gelston@pnnl.gov Angie Dalton Pacific Northwest National Laboratory (509) 371-6607 angela.dalton@pnnl.gov ABOUT FPGI The Future Power Grid

  13. An Intelligent Software Agent Framework for Decision Support Systems Development

    E-Print Network [OSTI]

    Moraitis, Pavlos

    specialists and the mediation between users and artificial agents, in order to allow users to control of a complex system through multiple layers proposed in control theory Mesarovic et al. (1970). Therefore a methodological point of view, we believe that this consideration facilitates the conception and the design

  14. Cybersecurity Games and Investments: A Decision Support Approach

    E-Print Network [OSTI]

    Malacaria, Pasquale

    , points out that only 24% of Chief Information Security Officers (CISOs) are very confident in protecting" funded by EPSRC, Grants: EP/K005820/1, EP/K005790/1. #12;2 CISOs face in addressing cybersecurity approach that CISOs can follow. Therefore another dimension of the cybersecurity investment problem

  15. Decision support systems for tool reuse and EOL processes

    E-Print Network [OSTI]

    Gan, Jyeh J

    2007-01-01T23:59:59.000Z

    Intel® is a manufacturing company that concentrates on the fabrication process of computer chips. Over the years and into the future, Intel® has gone through multiple and advanced generations of manufacturing technology ...

  16. Decision support tools for environmentally conscious chemical process design

    E-Print Network [OSTI]

    Cano Ruiz, José Alejandro, 1969-

    1999-01-01T23:59:59.000Z

    The environment has emerged as an important determinant of the performance of the modern chemical industry. Process engineering in the 21st century needs to evolve to include environmental issues as part of the design ...

  17. Decision Support and Optimization in Shutdown and Turnaround Scheduling

    E-Print Network [OSTI]

    Nabben, Reinhard

    heuristic produces. 1 Introduction In chemical manufacturing and petroleum refining, large-scale maintenance with solutions of a time-consuming mixed integer program prove the high quality of the solutions that our fast

  18. RIS-M-2525 DECISION SUPPORT IN SUPERVISORY CONTROL

    E-Print Network [OSTI]

    of the design basis, up-to-date knowledge of plant status and accumulated op- erational experience. INIS

  19. Using EMR transactional data for personalize clinical decision support

    E-Print Network [OSTI]

    Davidzon, Guido Alejandro

    2010-01-01T23:59:59.000Z

    Collective intelligence techniques have been used to predict stock prices, customer purchasing habits, movies and books preferences for years, yet they remain unused in the medical profession. With the increasing adoption ...

  20. Aqua: A Fast Decision Support System Using Approximate Query Answers

    E-Print Network [OSTI]

    Gibbons, Phillip B.

    commercial relational DBMS. Aqua precomputes synopses (special sta- tistical summaries) of the original data and stores them in the DBMS. It provides approximate an- swers (with quality guarantees) by rewriting on top of any SQL- compliant DBMS managing a data warehouse. Aqua pre- computes statistical summaries

  1. Decision support for operations and maintenance (DSOM) system

    DOE Patents [OSTI]

    Jarrell, Donald B. (Kennewick, WA); Meador, Richard J. (Richland, WA); Sisk, Daniel R. (Richland, WA); Hatley, Darrel D. (Kennewick, WA); Brown, Daryl R. (Richland, WA); Keibel, Gary R. (Richland, WA); Gowri, Krishnan (Richland, WA); Reyes-Spindola, Jorge F. (Richland, WA); Adams, Kevin J. (San Bruno, CA); Yates, Kenneth R. (Lake Oswego, OR); Eschbach, Elizabeth J. (Fort Collins, CO); Stratton, Rex C. (Richland, WA)

    2006-03-21T23:59:59.000Z

    A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.

  2. Supporting Intelligent and Trustworthy Maritime Path Planning Decisions

    E-Print Network [OSTI]

    Cummings, M.L.

    2010-01-01T23:59:59.000Z

    The risk of maritime collisions and groundings has dramatically increased in the past five years despite technological advancements such as GPS-based navigation tools and electronic charts which may add to, instead of ...

  3. Water Optimizer Suite: Tools for Decision Support and Policy Analysis

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    , irrigation system options, well and pump characteristics and water supply. Irrigation options include center pivot or gravity irrigation systems, well or canal delivery, and systems powered by electricity, diesel irrigation water when water supplies are limited. The Water Optimizer Suite consists of four separate

  4. Decision support tool for dynamic workforce scheduling in manufacturing environments \\

    E-Print Network [OSTI]

    Malik, Radhika, M. Eng. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

  5. Improving Educational Multimedia Selection Process Using Group Decision Support Systems

    E-Print Network [OSTI]

    Ottawa, University of

    to the adoption of new educational technologies to expand their markets and improve the flexibility and Technology United Arab Emirates staff.mohamed.a@alainuniversity.ac.ae Shervin Shirmohammadi Distributed of their offerings. These technologies include the Internet and Multimedia, used in an educational context

  6. Improving Risk Assessment to Support State Energy Infrastructure Decision

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy: Thomas P.Department ofMaking | Department of Energy Alice Lippert

  7. A Decision Support System for chemical incident information

    E-Print Network [OSTI]

    Sharma, Gaurav

    2002-01-01T23:59:59.000Z

    investigation 12. Emergency planning and response 13. Compliance audits 14. Trade secrets These fourteen elements are comprehensive in their treatment of chemical process safety issues and are inter-dependent [3]. The holistic Process Safety Management (PSM...

  8. Government Performance Result Act (GPRA) / Portfolio Decision Support (PDS)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), Geothermal TechnologiesGeothermalGo for theEnergy NowofDepartment|

  9. Design and Decision Support Tools | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOEDepartment of EnergySmallDesign Guide

  10. RETScreen International Clean Energy Decision Support Centre | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to:b < RAPID‎RBIRENERCO

  11. Improving Risk Assessment to Support State Energy Infrastructure Decision

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of BlytheDepartment of Energy IRSJuly 2012|| DepartmentImprovingMaking |

  12. Fayetteville Shale Decision Support and Information System FINAL TECHNICAL REPORT

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederalFYRANDOMFailure Modesflow

  13. NREL-Decision-Support Tools Demonstration | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoonNASA/Ames GlobalView thePresentation) Jump

  14. Strategies and Decision Support Systems for Integrating Variable Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital InvestmentsStrategic Energy

  15. UNEP-Bioenergy Decision Support Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtle Airships JumpType B:7-15:WebJump

  16. Decision Support Tool: Integrated REDD+ accounting frameworks: Nested

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b No revisionDbrodt'snational approaches

  17. Decision Analysis of Dynamic Spectrum Access Rules

    SciTech Connect (OSTI)

    Juan D. Deaton; Luiz A. DaSilva; Christian Wernz

    2011-12-01T23:59:59.000Z

    A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different decision rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using sensing information between the transmitter and receiver of a communication link, provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.

  18. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    , a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security/Commercial -Industrial -Agriculture -Environment -Energy Energy Providers -Peak/Base -Generation Type -Location -Capacity Dynamics: BroadSystem Dynamics: Broad PerspectivePerspective Energy for Water Municipal Use Agriculture

  19. Decision support systems based on LSP method In the area of decision support systems, our main emphasis is further

    E-Print Network [OSTI]

    Dujmovic, Jozo J.

    of the 9th Conference on Applied Mathematics (PRIM'94), pp. 269-276, Institute of Mathematics, Novi Sad/Disjunction. Proceedings of Eurofuse Workshop on Data and Knowledge Engineering. Published as Current Issues in Data.J., Optimizing Computer System Configurations. The 24th International Conference for the Resource Management

  20. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    Courtesy of Energy-Water Nexus Energy for Water · Pumping · Treatment · Distribution Water for Energy

  1. Discrete-Time ARMAv Model-Based Optimal Sensor Placement

    SciTech Connect (OSTI)

    Song Wei; Dyke, Shirley J. [Washington University in St. Louis, St. Louis, MO 63130 (United States)

    2008-07-08T23:59:59.000Z

    This paper concentrates on the optimal sensor placement problem in ambient vibration based structural health monitoring. More specifically, the paper examines the covariance of estimated parameters during system identification using auto-regressive and moving average vector (ARMAv) model. By utilizing the discrete-time steady state Kalman filter, this paper realizes the structure's finite element (FE) model under broad-band white noise excitations using an ARMAv model. Based on the asymptotic distribution of the parameter estimates of the ARMAv model, both a theoretical closed form and a numerical estimate form of the covariance of the estimates are obtained. Introducing the information entropy (differential entropy) measure, as well as various matrix norms, this paper attempts to find a reasonable measure to the uncertainties embedded in the ARMAv model estimates. Thus, it is possible to select the optimal sensor placement that would lead to the smallest uncertainties during the ARMAv identification process. Two numerical examples are provided to demonstrate the methodology and compare the sensor placement results upon various measures.

  2. Lab grants Decision Sciences

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s -Labgrants Decision Sciences

  3. Intersecting electronic decision support with user modelling in a web-based consumer decision aid for

    E-Print Network [OSTI]

    Grasso, Floriana

    Eastern Asia and Australia [1]. In the United States, in 2003 it was predicted to account for 10% of all cancer-related deaths [2]. Similarly in the EU, CRC accounted for 13% of new cancer cases and ~10% of cancer deaths in 2004 [3]. In Australia CRC was responsible for 14% of cancer deaths for the year 1990 [4

  4. Building Stakeholder Trust: Defensible Government Decisions - 13110

    SciTech Connect (OSTI)

    Franklin, Victor A. [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)] [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)

    2013-07-01T23:59:59.000Z

    Administrative decisions must be grounded in reasonable expectations, founded on sound principles, and bounded by societal norms. Without these first principles, attaining and retaining public trust is a Herculean task. Decisions made by governmental administrators must be both transparent and defensible: without the former the agency will lose the public's trust and support (possibly prompting a legal challenge to the decision) and without the latter the decision may fail to withstand judicial scrutiny. This presentation and accompanying paper delves into the process by which governmental decisions can achieve both defensibility and openness through building stakeholder trust with transparency. Achieving and maintaining stakeholder trust is crucial, especially in the environs of nuclear waste management. Proving confidence, stability, and security to the surrounding citizenry as well as those throughout the country is the goal of governmental nuclear waste remediation. Guiding administrative decision-making processes and maintaining a broad bandwidth of communication are of incalculable importance to all those charged with serving the public, but are especially essential to those whose decisional impacts will be felt for millennia. A strong, clear, and concise administrative record documenting discrete decisions and overarching policy choices is the strongest defense to a decisional challenge. However, this can be accomplished using transparency as the fundamental building block. This documentation allows the decision-makers to demonstrate the synthesis of legal and technical challenges and fortifies the ground from which challenges will be defended when necessary. Further, administrative actions which capture the public's interest and captivate that interest throughout the process will result in a better-informed, more deeply-involved, and more heavily-invested group of interested parties. Management of information, involvement, and investment on the front-end of the process reaps rewards far more efficiently than attempts to assuage and mitigate the concerns of those parties after the fact and there are a number of tools Savannah River Remediation (SRR) has deployed that render transparency an ally in this context. The makers, applicators, and beneficiaries of policies and decisions will all benefit from strong administrative records which document decisional choices in an open and transparent manner and from timely, up-front management of concerns of interested parties. The strongest defense to decisional challenges is an ability to demonstrate the basis of the decision and the reason(s) that the decision was chosen over other alternatives. Providing a sound basis for defending challenges rather than avoiding or fighting over them allows the deciding entity the greatest opportunity to produce value for its customer. Often, a transparent process that invites public participation and is open for public review and comment will thwart challenge genesis. An entity that has to devote resources to defending its choices obviously cannot utilize those resources to further its mission. (authors)

  5. OPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING

    E-Print Network [OSTI]

    Virginia, University of

    OPERATOR INTERACTION WITH MODEL-BASED PREDICTIVE CONTROLLERS IN PETROCHEMICAL REFINING Greg A success in the petrochemical industry, they have introduced new challenges for the operators and engineers

  6. Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2012-01-01T23:59:59.000Z

    predictive clothing insulation models based on outdoor airrange of the clothing insulation calculated for eachbuilding). Figure 8 Clothing insulation versus dress code [

  7. applying model-based diagnosis: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    de 251 AutoMoDe Notations, Methods, and Tools for Model-Based Development of Automotive Software Computer Technologies and Information Sciences Websites Summary:...

  8. A language for functional interpretation of model based simulation Jonathan Bell a

    E-Print Network [OSTI]

    Snooke, Neal

    analysis, FMEA, Model based simulation. 1. Introduction The automation of the design analysis of engi and Effects Analysis (FMEA), Sneak Circuit Analysis (SCA), simulation explanation, Fault Tree Analysis

  9. Decision Summaries | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Appliances & Electronics Search link to facebook link to twitter Email Signup Sign up for updates Go Search form Search Appliances & Electronics You are here Home Decision...

  10. Adaptive Peircean decision aid project summary assessments.

    SciTech Connect (OSTI)

    Senglaub, Michael E.

    2007-01-01T23:59:59.000Z

    This efforts objective was to identify and hybridize a suite of technologies enabling the development of predictive decision aids for use principally in combat environments but also in any complex information terrain. The technologies required included formal concept analysis for knowledge representation and information operations, Peircean reasoning to support hypothesis generation, Mill's's canons to begin defining information operators that support the first two technologies and co-evolutionary game theory to provide the environment/domain to assess predictions from the reasoning engines. The intended application domain is the IED problem because of its inherent evolutionary nature. While a fully functioning integrated algorithm was not achieved the hybridization and demonstration of the technologies was accomplished and demonstration of utility provided for a number of ancillary queries.

  11. Integrated Science and Computing Support for National Climate Service PRINCIPAL INVESTIGATOR: Thomas J. Wilbanks

    E-Print Network [OSTI]

    -of-the-art advanced climate change modeling, beginning with im- plications of climate change for water-sector decision making as a test case, with some additional attention to decision making related to climate change risks service types of decision support by identifying climate science-related questions of interest to US water

  12. Changing gear : driving corporate real estate financing decisions for the agile workplace

    E-Print Network [OSTI]

    Hardy, Trevor J. F. (Trevor John Fraser), 1977-

    2002-01-01T23:59:59.000Z

    Given the needs of corporations in the global business environment, corporate real estate investment decisions represent strategic choices that support a company's overall business strategy. This thesis clearly illustrates ...

  13. A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly

  14. Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks

    E-Print Network [OSTI]

    Breu, Ruth

    Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks C. J¨aggle J: A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability

  15. The CORAS Approach for Model-based Risk Management applied to e-Commerce Domain

    E-Print Network [OSTI]

    Stølen, Ketil

    into appropriate phases of object-oriented software development processes. To this end, systematic model-based risk1 The CORAS Approach for Model-based Risk Management applied to e-Commerce Domain Dimitris Raptis Appleton Laboratory, UK, t.dimitrakos@rl.ac.uk: Institute for Energy Technology, Norway, bjornag

  16. Supported by GreenNet-EU27

    E-Print Network [OSTI]

    Figueiredo Integration costs of wind due to changed system operation and investment decisions in GermanySupported by GreenNet-EU27 EIE/04/049/S07.38561 GreenNet-EU27 GUIDING A LEAST COST GRID INTEGRATION cost and grid extension cost caused by intermittent RES-E grid integration Derk Jan Swider (Ed

  17. The Effects of Elite Decision Making

    E-Print Network [OSTI]

    Johansen, Morgen S.

    2010-07-14T23:59:59.000Z

    focuses on two groups of decision makers, candidates running for office and public managers, and the effect of their decisions on the electorate and organization, respectively. The dissertation explores the impact of candidates' decisions regarding...

  18. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01T23:59:59.000Z

    MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents ...

  19. Contributions to risk-informed decision making

    E-Print Network [OSTI]

    Elliott, Michael A. (Michael Alfred)

    2010-01-01T23:59:59.000Z

    Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under ...

  20. A Method and Tool Support for Model-based Semi-automated Failure Modes and Effects Analysis of Engineering Designs

    E-Print Network [OSTI]

    Papadopoulos, Yiannis

    and scalability of present algorithms seem to have so far limited the industrial uptake of existing automated FMEA technology. In this paper, we describe a new tool for the automatic synthesis of FMEAs which builds upon our earlier work on fault tree synthesis. The tool constructs FMEAs from engineering diagrams (e.g. developed

  1. Accommodating complexity and human behaviors in decision analysis.

    SciTech Connect (OSTI)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01T23:59:59.000Z

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  2. Participation in crisis decision making

    E-Print Network [OSTI]

    Marsico, Dale Joseph

    1973-01-01T23:59:59.000Z

    PARTICIPATION IN CRISIS DECISION MAKiNG A Thesis by DALE JOSEPH MARSICO Submitted to the Graduate Col. legs of Te-. :as A&M University in partial fulfillment of the requirement~ for the degree MASTFR OF ARTS December 1973 Na)or Sub...]ect: Political Science PARTICIPATION IN CRISIS DECISION MAI'1NG A Thesis by DARE JOSEPH YARSICO Approved as to style and content by: (Chairman of Corm'. ttee M mber) PQBIQ ()~~ December 1973 487889 ABSTRACT Participation in Crisis Decision Making. (De...

  3. Decision Analysis for EGS | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Decision Analysis for EGS Decision Analysis for EGS Project objectives: DEVELOPMENT OF ANALYSIS TOOLS TO ASSESS: Uncertainties associated with exploration for EGS; Uncertainties...

  4. Three essays in decision making

    E-Print Network [OSTI]

    Weaver, Ray, Ph. D. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    This dissertation is composed of three essays about consumer judgment and decision making. In Essay 1, I develop a novel explanation for the well-known endowment effect - the tendency for owners to value goods more than ...

  5. Making Decisions with Enterprise Budgets

    E-Print Network [OSTI]

    Smith, Jackie; McCorkle, Dean; Outlaw, Joe

    2000-11-08T23:59:59.000Z

    Enterprise budgets can help farmers and ranchers make better decisions about what products to produce and how to produce them economically. This publication tells how to create and use enterprise budgets and includes an example....

  6. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow original statistical classification method using a deformable template model separate natural objects man template, along admissible linear transformations, to take account shape variability. classification

  7. Comparison of Chiller Models for Use in Model-Based Fault Detection

    E-Print Network [OSTI]

    Sreedhara, P.; Haves, P.

    2001-01-01T23:59:59.000Z

    , and computational requirements. The objective of this study was to evaluate different modeling approaches for their applicability to model based FDD of vapor compression chillers. Three different models were studied: the Gordon and Ng Universal Chiller model (2nd...

  8. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process

    E-Print Network [OSTI]

    Lin, Chen-Han

    2014-11-21T23:59:59.000Z

    This thesis presents a hybrid model based and statistical fault diagnosis system, which applied on the nonlinear three-tank model. The purpose of fault diagnosis is generating and analyzing the residual to find out the fault occurrence. This fault...

  9. On Models and Ontologies -A Layered Approach for Model-based Tool Integration

    E-Print Network [OSTI]

    Hochreiter, Sepp

    On Models and Ontologies - A Layered Approach for Model-based Tool Integration Gerti Kappel1 Schwinger3 , and Manuel Wimmer1 1 Business Informatics Group, Vienna University of Technology {gerti

  10. Model-based, event-driven programming paradigm for interactive web applications

    E-Print Network [OSTI]

    Milicevic, Aleksandar

    Applications are increasingly distributed and event-driven. Advances in web frameworks have made it easier to program standalone servers and their clients, but these applications remain hard to write. A model-based programming ...

  11. TOWARDS NON-STATIONARY MODEL-BASED NOISE ADAPTATION FOR LARGE VOCABULARY SPEECH RECOGNITION

    E-Print Network [OSTI]

    Frey, Brendan J.

    the power Mel spectrum transformation to Eq.(1), we arrive at: jY (fi)j2 = jX(fi)j2 jH(fi)j2 + jN(fi)j2 + (2TOWARDS NON-STATIONARY MODEL-BASED NOISE ADAPTATION FOR LARGE VOCABULARY SPEECH RECOGNITION T and deployment environments. One approach to tackling this problem is to transform the acoustic models based

  12. AutoMoDe - Model-Based Development of Automotive Software

    E-Print Network [OSTI]

    Ziegenbein, Dirk; Freund, Ulrich; Bauer, Andreas; Romberg, Jan; Schatz, Bernhard

    2011-01-01T23:59:59.000Z

    This paper describes first results from the AutoMoDe (Automotive Model-Based Development) project. The overall goal of the project is to develop an integrated methodology for model-based development of automotive control software, based on problem-specific design notations with an explicit formal foundation. Based on the existing AutoFOCUS framework, a tool prototype is being developed in order to illustrate and validate the key elements of our approach.

  13. Representing Asymmetric Decision Problems Using Coarse Valuations

    E-Print Network [OSTI]

    Liu, Liping; Shenoy, Prakash P.

    2004-04-01T23:59:59.000Z

    Support Systems 37 (2004) 119?135120 example of a highly asymmetric decision problem [15,22,23]. Joe is considering buying a 3-year-old Spartan sedan at a price of US$1000. The going rate for a similar car in the used car market is US$1100. Joe is unsure... of X and r is a payoff valuation of Y. Their combination, denoted by pC10r or rC10p, is a payoff valuation of Z=X[Y defined as follows: ?p C10 r??z??p?x??r?y?; ?1? where x and y are respectively the projection of z to X and Y, which are defined...

  14. Environmental Decision Making and Information Technology: Issues Assessment

    SciTech Connect (OSTI)

    Barg, S.; Fletcher, T.; Mechling, J.; Tonn, B.; Turner, R.

    1999-05-01T23:59:59.000Z

    This report presents a summary of the Information Technology and Environmental Decision Making Workshop that was held at Harvard University, October 1-3, 1998. Over sixty participants from across the US took part in discussions that focused on the current practice of using information technology to support environmental decision making and on future considerations of information technology development, information policies, and data quality issues in this area. Current practice is focusing on geographic information systems and visualization tools, Internet applications, and data warehousing. In addition, numerous organizations are developing environmental enterprise systems to integrate environmental information resources. Plaguing these efforts are issues of data quality (and public trust), system design, and organizational change. In the future, much effort needs to focus on building community-based environmental decision-making systems and processes, which will be a challenge given that exactly what needs to be developed is largely unknown and that environmental decision making in this arena has been characterized by a high level of conflict. Experimentation and evaluation are needed to contribute to efficient and effective learning about how best to use information technology to improve environmental decision making.

  15. REVIEWING PERFORMANCE ASSESSMENTS SUPPORTING

    E-Print Network [OSTI]

    Robert J. Lewis

    2010-01-01T23:59:59.000Z

    Purpose: To summarize current NRC policy and guidance, which should assist in making informed decisions regarding land disposal of unique low-level radioactive waste streams, including disposal of significant quantities of depleted uranium until a new regulation is implemented. Background: In September 2009, NRC staff conducted two public workshops soliciting early public input on major issues associated with a potential rulemaking for land disposal of unique waste streams including, but not limited to, significant quantities of depleted uranium. During these workshops, a number of stakeholders expressed interest or concern with the review of performance assessments supporting land disposal of unique waste streams prior to completion of the rulemaking process. Discussion: The enclosure contains a summary of existing guidance for reviewing performance assessments with a focus on issues associated with the safe disposal of unique waste streams. NRC staff is providing this guidance to the Agreement States for their information, and for distribution to their licensees, as appropriate. If you have any questions regarding this correspondence, please contact me at 301-415-3340 or the individuals named below.

  16. Decision-making models for reproducing intelligence in transportation |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITIONPortal Decision Support for Operations and

  17. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29T23:59:59.000Z

    Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.

  18. Model based multivariable controller for large scale compression stations. Design and experimental validation on the LHC 18KW cryorefrigerator

    SciTech Connect (OSTI)

    Bonne, François; Bonnay, Patrick [INAC, SBT, UMR-E 9004 CEA/UJF-Grenoble, 17 rue des Martyrs, 38054 Grenoble (France); Alamir, Mazen [Gipsa-Lab, Control Systems Department, CNRS-University of Grenoble, 11, rue des Mathématiques, BP 46, 38402 Saint Martin d'Hères (France); Bradu, Benjamin [CERN, CH-1211 Genève 23 (Switzerland)

    2014-01-29T23:59:59.000Z

    In this paper, a multivariable model-based non-linear controller for Warm Compression Stations (WCS) is proposed. The strategy is to replace all the PID loops controlling the WCS with an optimally designed model-based multivariable loop. This new strategy leads to high stability and fast disturbance rejection such as those induced by a turbine or a compressor stop, a key-aspect in the case of large scale cryogenic refrigeration. The proposed control scheme can be used to have precise control of every pressure in normal operation or to stabilize and control the cryoplant under high variation of thermal loads (such as a pulsed heat load expected to take place in future fusion reactors such as those expected in the cryogenic cooling systems of the International Thermonuclear Experimental Reactor ITER or the Japan Torus-60 Super Advanced fusion experiment JT-60SA). The paper details how to set the WCS model up to synthesize the Linear Quadratic Optimal feedback gain and how to use it. After preliminary tuning at CEA-Grenoble on the 400W@1.8K helium test facility, the controller has been implemented on a Schneider PLC and fully tested first on the CERN's real-time simulator. Then, it was experimentally validated on a real CERN cryoplant. The efficiency of the solution is experimentally assessed using a reasonable operating scenario of start and stop of compressors and cryogenic turbines. This work is partially supported through the European Fusion Development Agreement (EFDA) Goal Oriented Training Program, task agreement WP10-GOT-GIRO.

  19. Systems Biology Group Decision Making

    E-Print Network [OSTI]

    entities (e.g., molecular, cellular, organism, ecological) #12;OHIO STATE T . H . E UNIVERSITY Systems/analysis of perception, attention, choice, learning, optimality,... #12;OHIO STATE T . H . E UNIVERSITY Group decision making, evolution and ecology Current work: Modeling/analysis of coordinated motion, foraging, choice

  20. Decision making in the reactor control room

    SciTech Connect (OSTI)

    Nelson, W.R.

    1981-01-01T23:59:59.000Z

    One of the most important roles of the nuclear reactor operator is that of decision maker. This paper discusses a simple model of the decision process used by the reactor operator. Resources that must be available so that he can perform the decision process are presented. Decision aids which have been investigated at EG and G Idaho, Inc., as part of the LOFT Augmented Operator Capability Program are briefly discussed. Some general concepts of computerized decision aiding are developed, and the promises and pitfalls of such decision aids are explored. 7 refs., 1 fig.

  1. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General analysis, and public education in global environmental change. It seeks to provide leadership;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium

  2. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

    Tang, Victor, Ph.D. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    We explore corporate decisions and their solutions under uncertainty using engineering methods. Corporate decisions tend to be complex; they are interdisciplinary and defy programmable solutions. To address these challenges, ...

  3. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

  4. Investigating online decision-making styles

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15T23:59:59.000Z

    As one of the factors influencing consumers purchase behavior, decision-making styles are crucial for understanding consumer shopping behavior and for developing successful marketing strategies. Decision-making styles have been mainly viewed as a...

  5. Evaluation of information bundles in engineering decisions 

    E-Print Network [OSTI]

    Bakir, Niyazi Onur

    2004-11-15T23:59:59.000Z

    This dissertation addresses the question of choosing the best information alternative in engineering decisions. The decision maker maximizes his expected utility under uncertainty where both the action he takes and the state of the environment...

  6. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01T23:59:59.000Z

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  7. Better Buildings Neighborhood Program Decision Tool

    Broader source: Energy.gov [DOE]

    Provides an overview of the development of the Better Buildings Neighborhood Program decision tool, purpose, and scope.

  8. clustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R

    E-Print Network [OSTI]

    Washington at Seattle, University of

    is performed using either a stepwise greedy search or a headlong algorithm. Adjustments for speeding up subset of variables with group/cluster information in a dataset. Search over the solution spaceclustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R Luca Scrucca

  9. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of ShadowÐWe present an original statistical classification method using a deformable template model to separate transformations, to take into account the shape variability. Then, the classification problem is defined as a two

  10. Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development

    E-Print Network [OSTI]

    Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development -- Testing and verification are important methods for gaining confidence in the reliability of a software changing development cycles or that is tar- geted at many platforms. In this paper we present a test

  11. Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: Model-Based Reinforcement Learning with

    E-Print Network [OSTI]

    Edinburgh, University of

    Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: Model-Based Reinforcement Learning with Continuous States and Actions Marc P. Deisenroth1 , Carl E. Rasmussen1,2 , and Jan Peters2 1- University of Cambridge - Department of Engineering Trumpington Street, Cambridge CB2 1PZ - UK {mpd37|cer54}@cam.ac.uk 2

  12. A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA

    E-Print Network [OSTI]

    A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA Christoph modeling language Modelica. As a starting point for the development of the new building model (thermal building simulation). The first results of this research are Modelica-implementations of a thermal

  13. FINITE ELEMENT MODEL-BASED STRUCTURAL HEALTH MONITORING (SHM) SYSTEMS FOR COMPOSITE MATERIAL UNDER

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    FINITE ELEMENT MODEL-BASED STRUCTURAL HEALTH MONITORING (SHM) SYSTEMS FOR COMPOSITE MATERIAL UNDER). To design a Structural Health Monitoring (SHM) system, it is important to understand phenomenologically Workshop on Structural Health Monitoring July 8-11, 2014. La Cité, Nantes, France Copyright © Inria (2014

  14. Model based methodology development for energy recovery in flash heat exchange systems

    E-Print Network [OSTI]

    McCarthy, John E.

    Model based methodology development for energy recovery in flash heat exchange systems Problem with a condensing heat exchanger can be used when heat exchange is required between two streams and where at leastH, consistency etc.). To increase the efficiency of heat exchange, a cascade of these units in series can be used

  15. A Model-Based Framework for Developing and Deploying Data Aggregation Services

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    A Model-Based Framework for Developing and Deploying Data Aggregation Services Ramakrishna Soma1 , Amol Bakshi2 , V.K.Prasanna2 , Will Da Sie3 1 Dept of Computer Science, USC, Los Angeles, CA 2 Dept of Electrical Engineering, USC, Los Angeles, CA {rsoma, amol, prasanna}@usc.edu 3 Chevron Corporation, San Ramon

  16. Robust model based control method for wind energy production A. Pintea 1

    E-Print Network [OSTI]

    Boyer, Edmond

    - linear form on the wind speed, the rotation speed of the turbine and the pitch angle of the blades based control algorithm for a horizontal wind turbine is proposed. In a model-based control approach system. Keywords: Wind power, robustness, IMC, stability, turbine, pitch control. 1. INTRODUCTION Wind

  17. RODON -A Model-Based Diagnosis Approach for the DX Diagnostic Competition

    E-Print Network [OSTI]

    Burns, Peter

    article is carefully monitored. The hardware of the testbed is an electrical power system (EPS) of a space.frey@uptimeworld.com, burkhard.muenker@uptimeworld.com) Abstract: In recent years, model-based diagnostics reasoning systems have in the mechanical or electrical system and, if possible, indicates the reason behind it. Traditionally diagnosis

  18. MICROELECTRONIC ENGINEERING RESEARCH CONFERENCE 2003 1 Low Complexity Gaussian Mixture Model-based Block

    E-Print Network [OSTI]

    is jointly Gaussian, hence Lloyd- Max non-uniform scalar quantisers are used in traditional block quan-based Block Quantisation of Images Stephen So and Kuldip K. Paliwal Abstract--In this paper, we present a low complexity version of Gaus- sian mixture model-based block quantisation for images. The latter coding method

  19. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement with Improved

    E-Print Network [OSTI]

    So, Hing-Cheung

    IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement-based approach to enhance noisy speech using an analysis-synthesis framework. Target speech is reconstructed. Ini- tially, we propose an analysis-synthesis framework for speech enhancement based on harmonic noise

  20. Trust and Exclusion in Vehicular Ad Hoc Networks: An Economic Incentive Model based Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Trust and Exclusion in Vehicular Ad Hoc Networks: An Economic Incentive Model based Approach Nadia, and lowers the overall data reception ratio in the network. To tackle this, we propose a new incentive model with exclusion for malicious nodes called VIME. VIME is inspired from the signaling theory from economics

  1. Model-based Compressed Sensing reconstruction for MR parameter mapping Mariya Doneva1

    E-Print Network [OSTI]

    Lübeck, Universität zu

    Model-based Compressed Sensing reconstruction for MR parameter mapping Mariya Doneva1 , Christian Stehning2 , Peter Börnert2 , Holger Eggers2 and Alfred Mertins1 1 University of Luebeck, Luebeck, Germany, 2 Philips Research Europe, Hamburg, Germany Introduction: Compressed Sensing [1-4] suggests

  2. Pushback: A Hidden Markov Model Based Scheme for Energy Efficient Data Transmission in Sensor

    E-Print Network [OSTI]

    Koksal, Can Emre

    1 Pushback: A Hidden Markov Model Based Scheme for Energy Efficient Data Transmission in Sensor and Engineering Department of Electrical and Computer Engineering The Ohio State University The Ohio State University Columbus, Ohio 43210 Columbus, Ohio 43210 {liusha,prasun}@cse.ohio-state.edu {srivastr

  3. The path inference filter: model-based low-latency map matching of probe

    E-Print Network [OSTI]

    Abbeel, Pieter

    of automation onboard vehicles have created a very fertile ground for GPS data sources from probe vehicles for example [4], and the paradigm of connected (and automated) vehicles does not automatically translateThe path inference filter: model-based low-latency map matching of probe vehicle data Timothy

  4. A Simulator for high level Petri Nets: Model based design and

    E-Print Network [OSTI]

    ] - a model based graphical Petri Net editor. Our Simulator conforms1 to both ISO/IEC 15909 standards [8 and operations de- fined in ISO/IEC 15909-2 [9]. However, it is easy to complete the implementation of ISO/IEC

  5. ATTEMPT OF ALPINE GLACIER FLOW MODELING BASED ON CORRELATION MEASUREMENTS OF HIGH RESOLUTION SAR IMAGES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ATTEMPT OF ALPINE GLACIER FLOW MODELING BASED ON CORRELATION MEASUREMENTS OF HIGH RESOLUTION SAR In this paper, an attempt of Alpine glacier flow modeling is performed based on a series of high resolution TerraSAR-X SAR images and a Digital Elevation Model. First, a glacier flow model is established

  6. A Modeling-Based Technique for Nondestructive Evaluation of Metal Powders Undergoing Microwave Sintering

    E-Print Network [OSTI]

    Yakovlev, Vadim

    A Modeling-Based Technique for Nondestructive Evaluation of Metal Powders Undergoing Microwave of sensors and probes (see, e.g., [9]) is very limited here because of high (up to hundreds degrees Celsius the development of suitable means of nondestructive evaluation (NDE) of powder samples under microwave 978

  7. A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction

    E-Print Network [OSTI]

    A Model-Based Iterative Algorithm for Dual-Energy X-Ray CT Reconstruction Ruoqiao Zhang, Jean, Senior Member, IEEE Abstract--Recent developments in dual-energy X-ray CT have shown a number of benefits the opportunity to reduce noise and artifacts in dual energy reconstructions. However, previous approaches

  8. High speed cutting with industrial robots: Towards model based compensation of deviations

    E-Print Network [OSTI]

    Stryk, Oskar von

    High speed cutting with industrial robots: Towards model based compensation of deviations Modeling and numerical simulation of the industrial robot with elastic joints Dr.-Ing. M. Stelzer and Prof. Dr. rer. nat, [abele|bauer|weigold]@ptw.tu-darmstadt.de Abstract Application of industrial robots for high speed

  9. From Clinical Practice Guideline to Clinical Pathway Issues of Reference Model-Based Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    From Clinical Practice Guideline to Clinical Pathway­ Issues of Reference Model-Based Approach. Building Health networks and standardization of clinical processes are the main trend facing these challenges. Actually, the main instrument for documentation and managing of clinical processes are Clinical

  10. Fully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    University of Technology, France. bouabdal@hds.utc.fr Abstract A mobile ad hoc network (MANET) is a wireless pre-existing in- frastructure; all networking operations (routing, mobility management, and so onFully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks Mawloud Omar, Yacine

  11. Tighter Relaxations for Higher-Order Models based on Generalized Roof Duality

    E-Print Network [OSTI]

    Lunds Universitet

    Tighter Relaxations for Higher-Order Models based on Generalized Roof Duality Johan Fredriksson one of the most successful approaches, namely roof duality, for approximately solving such problems cone. In the sec- ond method, it is shown that the roof dual bound can be applied in an iterated way

  12. A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints Glen Bilodeau1, Greece Abstract Impedance control of a hydraulic servoactuator joint system is discussed in this paper individually. Due to nonlinear properties of hydraulic actuators, impedance control is difficult. The control

  13. Improved Economic Operation of MSWC Plants with a New Model Based PID Control Strategy

    E-Print Network [OSTI]

    Van den Hof, Paul

    Improved Economic Operation of MSWC Plants with a New Model Based PID Control Strategy M. Leskens the performance of the MSWC plant combustion control system, which typically is of the PID-type. In this paper models. More specific, from a closer analysis of the dynamics of these models a new PID-type of MSWC

  14. Model-based Control of Automotive Engines and After-treatment Devices

    E-Print Network [OSTI]

    engine technologies. A first keyword celebrated by the automotive industry is the term "downsizingModel-based Control of Automotive Engines and After-treatment Devices N. Petit MINES Paris on automotive vehicle emissions have steadily increased over the last decades, embedded control technology

  15. Deployment Mechanism Design with Behavioral Modeling Based on Pro/Engineer Motion Skeleton

    E-Print Network [OSTI]

    kind of motion mechanisms, is often used to stretch out solar panels or antennas in spacecraftDeployment Mechanism Design with Behavioral Modeling Based on Pro/Engineer Motion Skeleton Chao.com.cn Keywords: Deployment mechanism, Motion skeleton, Behavioral modeling, Feasibility analysis Abstract

  16. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization Western Reserve University, *Cleveland State University, +Rockwell Automation, Cleveland, OR, USA Email

  17. SafeCert 2008 Model-Based Safety-Cases for

    E-Print Network [OSTI]

    characterisations. From this, open research issues are derived. Keywords: Safety case, model-based, structured approaches exist: Leveson et al. [7] describe an FTA-like approach to examine Ada programs, while Giese et al hazards to determine how much of a threat they pose, i.e. the severity and likelihood of potential

  18. Model-based Control Design of a Diesel Oxidation Olivier Lepreux

    E-Print Network [OSTI]

    Model-based Control Design of a Diesel Oxidation Catalyst Olivier Lepreux Yann Creff Nicolas.petit @ mines-paristech.fr) Abstract: This paper proposes a control strategy for a Diesel Oxidation Catalyst for the propagation of the temperature variations accounts for spatially distributed heat generation (due to oxidation

  19. Model-based analysis and simulation of regenerative heat wheel Zhuang Wu a

    E-Print Network [OSTI]

    Melnik, Roderick

    , which is used in many heat recovery systems. In this paper, a model-based analysis of a rotary Mechanical ventilation with heat recovery systems plays a vital role in securing optimum air quality, thermal heat recovery systems [3]. Such systems have a significant effect on the energy effectiveness

  20. Model-based Failure Modes and Effects Analysis of Neal Snooke 1

    E-Print Network [OSTI]

    Snooke, Neal

    embedded software developers who are already familiar with the benefits of FMEA analysis. Several au- thors discuss experiences of performing manual FMEA of software however there has been no attempt at automating of software and the success of model based automated FMEA for hardware. 1 Introduction The notion of Software

  1. Towards model-based control of a steam Rankine process for engine waste heat recovery

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards model-based control of a steam Rankine process for engine waste heat recovery Johan Peralez a critical role in enabling good per- formance of Rankine processes for waste heat recovery from prime movers. INTRODUCTION In the last few years, engine waste heat recovery (WHR) systems based on the Rankine thermodynamic

  2. Model-based Trajectory Control of Robots with Pneumatic Actuator Dynamics

    E-Print Network [OSTI]

    Tedrake, Russ

    movements despite being equipped with actuators (human muscles) that have band- width limitations similar. Motion planning has been successfully applied to a number of dynamic legged robots [13Model-based Trajectory Control of Robots with Pneumatic Actuator Dynamics Ryuma Niiyama Abstract

  3. Human-robot interactions: model-based risk analysis and safety case construction

    E-Print Network [OSTI]

    Guiochet, Jérémie

    Human-robot interactions: model-based risk analysis and safety case construction Quynh Anh DO HOANG potential threats related to physical human-robot interactions and to assess the associated risks that might affect safety and dependability. Because of the complexity of human-robot interactions, rigorous

  4. 4, 20352071, 2007 Open-GIS decision

    E-Print Network [OSTI]

    HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C. Trifu et System Sciences Development of an Open-GIS decision aid system for ecological and economical management, France 2035 #12;HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C

  5. Model-based Estimation of Flexibility and Optionability in an Integrated Real Options Framework

    E-Print Network [OSTI]

    Mikaelian, Tsoline

    Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work we introduced an integrated real options framework ...

  6. Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models

    E-Print Network [OSTI]

    Vedlitz, Arnold; Mintz, Alex; Redd, Steven B.; Liu, Xinsheng; Alston, Letitia T.

    2013-12-19T23:59:59.000Z

    . The computerized Decision Board records key features of the decision-making process: (a) the sequence in which decision makers acquire the information, (b) the number of items that respondents view for every alternative along every dimension, and (c) the amount... Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models March 31, 2003 ? March 31, 2005 This research was funded by the National Defense University Contract No. DABJ29-03-P-0084 INSTITUTE FOR SCIENCE...

  7. Executive decision making processes and outcomes : structure and robustness

    E-Print Network [OSTI]

    Chacon, Vince

    2003-01-01T23:59:59.000Z

    Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of ...

  8. areas final decision: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ulm, Universitt 234 Multiattribute Decision Making by Sequential Resource Allocation Power Transmission, Distribution and Plants Websites Summary: Multiattribute Decision...

  9. Stereotactic Body Radiotherapy Versus Surgery for Medically Operable Stage I Non-Small-Cell Lung Cancer: A Markov Model-Based Decision Analysis

    SciTech Connect (OSTI)

    Louie, Alexander V. [Department of Oncology, University of Western Ontario, London, ON (Canada); Rodrigues, George, E-mail: george.rodrigues@lhsc.on.ca [Department of Oncology, University of Western Ontario, London, ON (Canada); Department of Epidemiology/Biostatistics, University of Western Ontario, London, ON (Canada); Hannouf, Malek [Department of Epidemiology/Biostatistics, University of Western Ontario, London, ON (Canada); Zaric, Gregory S. [Department of Epidemiology/Biostatistics, University of Western Ontario, London, ON (Canada); Richard Ivey School of Business, University of Western Ontario, London, ON (Canada); Palma, David A. [Department of Oncology, University of Western Ontario, London, ON (Canada); Cao, Jeffrey Q. [Department of Oncology, University of Western Ontario, London, ON (Canada); Richard Ivey School of Business, University of Western Ontario, London, ON (Canada); Yaremko, Brian P. [Department of Oncology, University of Western Ontario, London, ON (Canada); Malthaner, Richard [Department of Epidemiology/Biostatistics, University of Western Ontario, London, ON (Canada); Division of Surgery, University of Western Ontario, London, ON (Canada); Mocanu, Joseph D. [Richard Ivey School of Business, University of Western Ontario, London, ON (Canada)

    2011-11-15T23:59:59.000Z

    Purpose: To compare the quality-adjusted life expectancy and overall survival in patients with Stage I non-small-cell lung cancer (NSCLC) treated with either stereotactic body radiation therapy (SBRT) or surgery. Methods and Materials: We constructed a Markov model to describe health states after either SBRT or lobectomy for Stage I NSCLC for a 5-year time frame. We report various treatment strategy survival outcomes stratified by age, sex, and pack-year history of smoking, and compared these with an external outcome prediction tool (Adjuvant{exclamation_point} Online). Results: Overall survival, cancer-specific survival, and other causes of death as predicted by our model correlated closely with those predicted by the external prediction tool. Overall survival at 5 years as predicted by baseline analysis of our model is in favor of surgery, with a benefit ranging from 2.2% to 3.0% for all cohorts. Mean quality-adjusted life expectancy ranged from 3.28 to 3.78 years after surgery and from 3.35 to 3.87 years for SBRT. The utility threshold for preferring SBRT over surgery was 0.90. Outcomes were sensitive to quality of life, the proportion of local and regional recurrences treated with standard vs. palliative treatments, and the surgery- and SBRT-related mortalities. Conclusions: The role of SBRT in the medically operable patient is yet to be defined. Our model indicates that SBRT may offer comparable overall survival and quality-adjusted life expectancy as compared with surgical resection. Well-powered prospective studies comparing surgery vs. SBRT in early-stage lung cancer are warranted to further investigate the relative survival, quality of life, and cost characteristics of both treatment paradigms.

  10. Simulation of human decision making

    DOE Patents [OSTI]

    Forsythe, J. Chris (Sandia Park, NM); Speed, Ann E. (Albuquerque, NM); Jordan, Sabina E. (Albuquerque, NM); Xavier, Patrick G. (Albuquerque, NM)

    2008-05-06T23:59:59.000Z

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  11. Journal of Power Sources 162 (2006) 388399 Model-based condition monitoring of PEM fuel cell using

    E-Print Network [OSTI]

    Ding, Yu

    2006-01-01T23:59:59.000Z

    Journal of Power Sources 162 (2006) 388­399 Model-based condition monitoring of PEM fuel cell using of polymer electrolyte membrane (PEM) fuel cell systems, temporary faults in such systems still might occur/uncertainty of the fuel cell system, and the measurement noise. In this research, we propose a model-based condition

  12. Using Model-based Intrusion Detection for SCADA Networks Steven Cheung Bruno Dutertre Martin Fong Ulf Lindqvist Keith Skinner

    E-Print Network [OSTI]

    Cheung, Steven

    Using Model-based Intrusion Detection for SCADA Networks Steven Cheung Bruno Dutertre Martin Fong In a model-based intrusion detection approach for protecting SCADA networks, we construct models and a prototype implementation of them for monitoring Modbus TCP networks. Keywords: SCADA security, intrusion

  13. Model-Based Testing with a General Purpose Keyword-Driven Test Automation Tuomas Pajunen, Tommi Takala, and Mika Katara

    E-Print Network [OSTI]

    Memon, Atif M.

    . The tests are built as sequences of keywords, and keywords are automatically translated into concrete lowModel-Based Testing with a General Purpose Keyword-Driven Test Automation Framework Tuomas Pajunen mika.katara@tut.fi Abstract--Model-based testing (MBT) is a relatively new approach to software testing

  14. Supporting Air Traffic Flow Management with Agents Shawn R. Wolfe

    E-Print Network [OSTI]

    Yorke-Smith, Neil

    Supporting Air Traffic Flow Management with Agents Shawn R. Wolfe Intelligent Systems Division NASA Ames Research Center Moffett Field, CA 94035-1000 Shawn.R.Wolfe@nasa.gov Abstract Air traffic flow an agent-based system to facilitate mutually beneficial air traffic management decisions, and identify

  15. Step decision rules for multistage stochastic programming

    E-Print Network [OSTI]

    Julien Th ni

    2006-08-08T23:59:59.000Z

    Aug 8, 2006 ... The second idea is to have each expert work with step decision rules. ... OR and Management Sciences (Supply Chain Management ). Citation: ...

  16. Examining Decision-Making Regarding Environmental Information

    SciTech Connect (OSTI)

    Marble, Julie Lynne; Medema, Heather Dawne; Hill, Susan Gardiner

    2001-10-01T23:59:59.000Z

    Eight participants were asked to view a computer-based multimedia presentation on an environmental phenomenon. Participants were asked to play a role as a senior aide to a national legislator. In this role, they were told that the legislator had asked them to review a multimedia presentation regarding the hypoxic zone phenomenon in the Gulf of Mexico. Their task in assuming the role of a senior aide was to decide how important a problem this issue was to the United States as a whole, and the proportion of the legislator’s research budget that should be devoted to study of the problem. The presentation was divided into 7 segments, each containing some new information not contained in the previous segments. After viewing each segment, participants were asked to indicate how close they were to making a decision and how certain they were that their current opinion would be their final decision. After indicating their current state of decision-making, participants were interviewed regarding the factors affecting their decision-making. Of interest was the process by which participants moved toward a decision. This experiment revealed a number of possible directions for future research. There appeared to be two approaches to decision-making: Some decision-makers moved steadily toward a decision, and occasionally reversed decisions after viewing information, while others abruptly reached a decision after a certain time period spent reviewing the information. Although the difference in estimates of distance to decisions did not differ statistically for these two groups, that difference was reflected in the participants’ estimates of confidence that their current opinion would be their final decision. The interviews revealed that the primary difference between these two groups was in their trade-offs between willingness to spend time in information search and the acquisition of new information. Participants who were less confident about their final decision, tended to be the same group of participants who moved slowly toward a decision. These participants also tended to indicate that acquisition of information was more critical than the amount of time spent on the information search. The second group tended to form a set of specific questions for which they desired specific answers. This group was more likely to demonstrate a significant reduction in their distance to a decision much earlier than the first group. In addition, this group tended to be very confident of their final decision and indicated that time spent in information search was more critical than obtaining new information. They indicated that the value of information obtained must remain high to justify the extensive time spent in information search.

  17. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  18. 5(b)/9(c) Record of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Revised Policy on Determining Net Requirements of Pacific Northwest Utility Customers Under Sections 5(b)(1) and 9(c) of the Northwest Power Act Administrator's Record of Decision...

  19. Markov Decision Based Filtering to Prevent Network Instability from Control Plane Poison Messages*

    E-Print Network [OSTI]

    Shayman, Mark A.

    Markov Decision Based Filtering to Prevent Network Instability from Control Plane Poison Messages@research.telcordia.com * Research supported by DARPA under contract N66001-00-C-8037. Abstract: Poison message failure propagation propose a combination of passive diagnosis and active diagnosis to deal with the poison message problem

  20. RESEARCH ARTICLE Tapping panel diagnosis, an innovative on-farm decision

    E-Print Network [OSTI]

    Boyer, Edmond

    ). World- wide demand for natural rubber is increasing. Compared with synthetic rubber, the demandRESEARCH ARTICLE Tapping panel diagnosis, an innovative on-farm decision support system for rubber. Latex is produced by the rubber tree (Hevea brasiliensis). Given the 7-year immature unproductive period

  1. Decisions, Models, and Monitoring A Lifecycle Model for the Evolution of Service-Based Systems

    E-Print Network [OSTI]

    Dustdar, Schahram

    . In this paper, we present a novel approach to support a continuous development lifecycle of SBSs. Our approach. During the course of the development phases, software architects and developers use different modelsDecisions, Models, and Monitoring ­ A Lifecycle Model for the Evolution of Service-Based Systems

  2. Seminar on Uncertainty & Decision Making Ghent University and Belgian Nuclear Research Centre

    E-Print Network [OSTI]

    Tradacete, Pedro

    Matemáticas, UCM "Soft Computing and Nuclear Reactor Control" ABSTRACT: The need for on-line reactor operator) for controlling the power level of a nuclear reactor, the study was intended to assess the applicability of fuzzy- thods, uncertainty analysis, decision support systems to information management, safety and security

  3. Evidence-based Decision Making: Influences on Central-Office Administrators' Decision-Making Practices

    E-Print Network [OSTI]

    Haecker, Bonnie Minnia

    2013-12-05T23:59:59.000Z

    administrators across the state of Texas were surveyed to obtain information about their evidence-based decision-making practices and the factors that influenced them when making decisions about interventions for their districts. The purpose...

  4. Reactor vessel support system

    DOE Patents [OSTI]

    Golden, Martin P. (Trafford, PA); Holley, John C. (McKeesport, PA)

    1982-01-01T23:59:59.000Z

    A reactor vessel support system includes a support ring at the reactor top supported through a box ring on a ledge of the reactor containment. The box ring includes an annular space in the center of its cross-section to reduce heat flow and is keyed to the support ledge to transmit seismic forces from the reactor vessel to the containment structure. A coolant channel is provided at the outside circumference of the support ring to supply coolant gas through the keyways to channels between the reactor vessel and support ledge into the containment space.

  5. Model-Based Control and Optimization of Large Scale Physical Systems -Challenges in Reservoir Engineering

    E-Print Network [OSTI]

    Van den Hof, Paul

    needs to increase efficiency in oil recovery from subsurface reservoirs new technology is devel- oped challenge to rationalize the decision processes. With newly developed technology for drilling wells and in for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands E-mail: p

  6. Achieving Robustness to Uncertainty for Financial Decision-making

    SciTech Connect (OSTI)

    Barnum, George M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Van Buren, Kendra L. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Hemez, Francois M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Song, Peter [Univ. of Pennsylvania, Philadelphia, PA (United States)

    2014-01-10T23:59:59.000Z

    This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously. When two models reflect past data with similar accuracy, the more robust of the two is preferable for decision-making because its predictions are, by definition, less sensitive to the uncertainty.

  7. Manipulating decision making of typical agents

    E-Print Network [OSTI]

    V. I. Yukalov; D. Sornette

    2014-09-02T23:59:59.000Z

    We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathematical techniques that are common in quantum theory, justifying our naming as Quantum Decision Theory. However, we do not assume that decision makers are quantum objects. The techniques of quantum theory are needed only for defining the prospect probabilities taking into account such hidden variables as behavioral biases and other subconscious feelings. The approach describes an agent's choice as a probabilistic event occurring with a probability that is the sum of a utility factor and of an attraction factor. The attraction factor embodies subjective and unconscious dimensions in the mind of the decision maker. We show that the typical aggregate amplitude of the attraction factor is $1/4$, and it can be either positive or negative depending on the relative attraction of the competing choices. The most efficient way of varying the decision makers choice is realized by influencing the attraction factor. This can be done in two ways. One method is to arrange in a special manner the payoff weights, which induces the required changes of the values of attraction factors. We show that a slight variation of the payoff weights can invert the sign of the attraction factors and reverse the decision preferences, even when the prospect utilities remain unchanged. The second method of influencing the decision makers choice is by providing information to decision makers. The methods of influencing decision making are illustrated by several experiments, whose outcomes are compared quantitatively with the predictions of our approach.

  8. Consortium Support (Fixed Support) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 BuildingEnergyEnergyConsortium Support (Fixed Support)

  9. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Anderson, Jim

    Enabling Services Dyslexia Support information for students website: www.soton.ac.uk/edusupport/dyslexia, George Thomas Building (37), Highfield Campus #12;2 Contents About Dyslexia Support.........................................................11 National and Local Organisations: .....................................12 #12;3 About Dyslexia

  10. Supported PV module assembly

    DOE Patents [OSTI]

    Mascolo, Gianluigi; Taggart, David F.; Botkin, Jonathan D.; Edgett, Christopher S.

    2013-10-15T23:59:59.000Z

    A supported PV assembly may include a PV module comprising a PV panel and PV module supports including module supports having a support surface supporting the module, a module registration member engaging the PV module to properly position the PV module on the module support, and a mounting element. In some embodiments the PV module registration members engage only the external surfaces of the PV modules at the corners. In some embodiments the assembly includes a wind deflector with ballast secured to a least one of the PV module supports and the wind deflector. An array of the assemblies can be secured to one another at their corners to prevent horizontal separation of the adjacent corners while permitting the PV modules to flex relative to one another so to permit the array of PV modules to follow a contour of the support surface.

  11. A comparison of two lung clearance models based on the dissolution rates of oxidized depleted uranium

    E-Print Network [OSTI]

    Crist, Kevin Craig

    1983-01-01T23:59:59.000Z

    by Cuddihy. Predictions fr'om bai. h models based on the dissolution rates of the amount of oxidized depleted uranium that wau'ld be cleared to blood irom the pu lraana ry region i'o'i)owing an i nba !at i cn exposure were compared . It was f:urd ti... to oxidized depleted uranium (DU) aerosol. The ob, ject. ive of th. is i:hesis was three fold: (1) to determine the dissolution rates for two respirable DU samples, (2) to determine the specific pulmonary clearance characteristics of oxidized DU, (3) Co...

  12. Emergency Medical Support

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    This volume defines coordination between emergency planners and emergency medical support. Canceled by DOE G 151.1-4.

  13. COMMISSION DECISION of 9 December 2010

    E-Print Network [OSTI]

    Brierley, Andrew

    COMMISSION DECISION of 9 December 2010 amending Decision C(2007) 2286 on the adoption of ERC Rules) (2010/767/EU) THE EUROPEAN COMMISSION, Having regard to the Treaty on the Functioning of the European 2007, the Commission adopted the rules for the submission of proposals to the European Research Council

  14. DECISION MODELS FOR EMERGENCY RESPONSE PLANNING

    E-Print Network [OSTI]

    Wang, Hai

    Under FEMA Grant EMW-2004-GR-0112 September 28, 2004 Center for Risk and Economic Analysis of Terrorism by the United States Department of Homeland Security through the Center for Risk and Economic Analysis years proved invaluable as a decision-planning tool. Known as the science and technology of decision

  15. Preferences, Information, and Group Decision Making

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  16. Preferences, Information, and Group Decision Making 

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  17. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    1 Algorithmic Decision Theory and the Smart Grid Fred Roberts Rutgers University #12;2 Algorithmic Conference on ADT ­ probably Belgium in Fall 2013. #12;9 ADT and Smart Grid ·Many of the following ideas and planning dating at least to World War II. ·But: algorithms to speed up and improve real-time decision

  18. Office of Sustainability Support

    Broader source: Energy.gov [DOE]

    The Office of Sustainability Support serves as AU’s organizational lead in partnering with the Department’s Sustainability Performance Office to support the understanding and implementation of sustainability programs and requirements within the Department, including through supporting development and implementation of DOE’s annual Strategic Sustainability Program Plan.

  19. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Anderson, Jim

    Enabling Services Dyslexia Support Information for students Support for students with specific learning difficulties such as dyslexia and dyspraxia Email: enable@soton.ac.uk Tel: 023 8059 7726 Student Services Centre Building (37) Highfield Campus #12;2 Contents About Dyslexia Support

  20. SLUDGE TREATMENT PROJECT KOP CONCEPTUAL DESIGN CONTROL DECISION REPORT

    SciTech Connect (OSTI)

    CARRO CA

    2010-03-09T23:59:59.000Z

    This control decision addresses the Knock-Out Pot (KOP) Disposition KOP Processing System (KPS) conceptual design. The KPS functions to (1) retrieve KOP material from canisters, (2) remove particles less than 600 {micro}m in size and low density materials from the KOP material, (3) load the KOP material into Multi-Canister Overpack (MCO) baskets, and (4) stage the MCO baskets for subsequent loading into MCOs. Hazard and accident analyses of the KPS conceptual design have been performed to incorporate safety into the design process. The hazard analysis is documented in PRC-STP-00098, Knock-Out Pot Disposition Project Conceptual Design Hazard Analysis. The accident analysis is documented in PRC-STP-CN-N-00167, Knock-Out Pot Disposition Sub-Project Canister Over Lift Accident Analysis. Based on the results of these analyses, and analyses performed in support of MCO transportation and MCO processing and storage activities at the Cold Vacuum Drying Facility (CVDF) and Canister Storage Building (CSB), control decision meetings were held to determine the controls required to protect onsite and offsite receptors and facility workers. At the conceptual design stage, these controls are primarily defined by their safety functions. Safety significant structures, systems, and components (SSCs) that could provide the identified safety functions have been selected for the conceptual design. It is anticipated that some safety SSCs identified herein will be reclassified based on hazard and accident analyses performed in support of preliminary and detailed design.

  1. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions

    SciTech Connect (OSTI)

    Bohn, M P [Sandia National Labs., Albuquerque, NM (United States)] [Sandia National Labs., Albuquerque, NM (United States)

    1992-12-01T23:59:59.000Z

    As part of the NRC-sponsored program to study the implications of Generic Issue 57, Effects of Fire Protection System Actuation on Safety-Related Equipment,'' a subtask was performed to evaluate the applicability of formal decision analysis methods to generic issues cost/benefit-type decisions and to apply these methods to the GI-57 results. In this report, the numerical results obtained from the analysis of three plants (two PWRs and one BWR) as developed in the technical resolution program for GI-57 were studied. For each plant, these results included a calculation of the person-REM averted due to various accident scenarios and various proposed modifications to mitigate the accident scenarios identified. These results were recomputed to break out the benefit in terms of contributions due to random event scenarios, fire event scenarios, and seismic event scenarios. Furthermore, the benefits associated with risk (in terms of person-REM) averted from earthquakes at three different seismic ground motion levels were separately considered. Given this data, formal decision methodologies involving decision trees, value functions, and utility functions were applied to this basic data. It is shown that the formal decision methodology can be applied at several different levels. Examples are given in which the decision between several retrofits is changed from that resulting from a simple cost/benefit-ratio criterion by virtue of the decision-makinger's expressed (and assumed) preferences.

  2. Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density

    E-Print Network [OSTI]

    Subramanian, Venkat

    of energy density. optimization of design parameters. such as implantable cardiovascular defibrillators (ICDs) to high power/high energy applications such as hybrid carsModel-based simultaneous optimization of multiple design parameters for lithium-ion batteries

  3. Advanced product realization through model-based design and virtual prototyping

    SciTech Connect (OSTI)

    Andreas, R.D. [Sandia National Labs., Albuquerque, NM (United States). Electronic Subsystems Center

    1995-03-01T23:59:59.000Z

    Several government agencies and industrial sectors have recognized the need for, and payoff of, investing in the methodologies and associated technologies for improving the product realization process. Within the defense community as well as commercial industry, there are three major needs. First, they must reduce the cost of military products, of related manufacturing processes, and of the enterprises that have to be maintained. Second, they must reduce the time required to realize products while still applying the latest technologies. Finally, they must improve the predictability of process attributes, product performance, cost, schedule and quality. They must continue to advance technology, quickly incorporate their innovations in new products and in processes to produce them, and they need to capitalize on the raw computational power and communications bandwidth that continues to become available at decreasing cost. Sandia National Laboratories initiative is pursuing several interrelated, key concepts and technologies in order to enable such product realization process improvements: model-based design; intelligent manufacturing processes; rapid virtual and physical prototyping; and agile people/enterprises. While progress in each of these areas is necessary, this paper only addresses a portion of the overall initiative. First a vision of a desired future capability in model-based design and virtual prototyping is presented. This is followed by a discussion of two specific activities parametric design analysis of Synthetic Aperture Radars (SARs) and virtual prototyping of miniaturized high-density electronics -- that exemplify the vision as well as provide a status report on relevant work in progress.

  4. Comparison of Fourier and model-based estimators in single mode multiaxial interferometry

    E-Print Network [OSTI]

    E. Tatulli; J. -B. LeBouquin

    2006-02-15T23:59:59.000Z

    There are several solutions to code the signal arising from optical long baseline multi-aperture interferometers. In this paper,we focus on the {\\bf non homothetic spatial coding scheme} (multiaxial) with the fringe pattern coded along one dimension on one detector(all-in-one). After describing the physical principles governing single mode interferometers using that sort of recombination scheme, we analyze two different existing methods that measure the source visibility. The first technique, so-called Fourier estimator, consists in integrating the high frequency peak of the power spectral density of the interferogram. The second method, so-called model-based estimator, has been specifically developed for the AMBER instrument of the VLTI and deals with directly modelling the interferogram recorded on the detector. Performances of both estimators are computed in terms of Signal to Noise Ratio (SNR) of the visibility, assuming that the interferograms are perturbed by photon and detector noises. Theoretical expressions of the visibility SNR are provided, validated through numerical computations and then compared. We show that the model-based estimator offers up to 5 times better performances than the Fourier one.

  5. United States Nuclear Command and Control System Support Staff. Directive

    SciTech Connect (OSTI)

    Kennedy, R.

    1988-02-03T23:59:59.000Z

    The Directive establishes, pursuant to National Security Decision Directive, August 21, 1987, and the authority vested in the Secretary of Defense, the U.S. Nuclear Command and Control System Support Staff under the direction, authority, and control of the Secretary of Defense, who also serves as the Executive Agent for the Nuclear Command and Control System (NCCS) (hereafter referred to as Executive Agent). The Directive establishes the DoD NCCS Executive Review Committee (ERC) in support of the Secretary of Defense. It assigns the responsibilities, functions, relationships and authorities of the U.S. NCCS Support Staff (NSS) and its Director, and those of the ERC.

  6. Effective early planning and integration of NEPA into the decision-making process

    SciTech Connect (OSTI)

    Hannon, W.C.; Gensler, J.D. (Allen and Hamilton, Inc., Bethesda, MD (United States))

    1993-01-01T23:59:59.000Z

    This paper covers several key challenges and lessons learned in a federal agency assignment to educate the decision makers in NEPA and then to effectuate decisions early in the decision-making process based on the information derived from the NEPA process participants and documentation. Many of the key challenges faced by these federal decision makers stem, in part, from unfamiliarity with NEPA requirements and the benefits that can be derived by utilizing the process to support making an informed decision. Secondly, federal managers, at times believe that the process is a hindrance to accomplishing their mission. Lastly, there was a genuine belief that the public and other organizations within the agency should have no part in evaluating or commenting on the proposed action. Using the knowledge gained from drafting and reviewing EISs and EAs, Booz, Allen devised a systematic process that effectively: educated management on NEPA requirements; developed a management tool to guide and integrate the process; and encouraged the early and effective use of environmental and social information into all decision-making processes.

  7. A Comparison of Graphical Techniques for Asymmetric Decision Problems

    E-Print Network [OSTI]

    Bielza, Concha; Shenoy, Prakash P.

    1999-11-01T23:59:59.000Z

    We compare four graphical techniques for representation and solution of asymmetric decision problems—decision trees, influence diagrams, valuation networks, and sequential decision diagrams. We solve a modified version of ...

  8. SkyHunter: A Multi-Surface Environment for Supporting Oil and Gas Exploration

    E-Print Network [OSTI]

    Maurer, Frank

    SkyHunter: A Multi-Surface Environment for Supporting Oil and Gas Exploration Teddy Seyed, Mario}@ucalgary.ca ABSTRACT The process of oil and gas exploration and its result, the decision to drill for oil in a specific show in this paper, many of the existing technologies and practices that support the oil and gas

  9. ARAC: A support capability for emergency managers

    SciTech Connect (OSTI)

    Pace, J.C.; Sullivan, T.J.; Baskett, R.L. [and others

    1995-08-01T23:59:59.000Z

    This paper is intended to introduce to the non-radiological emergency management community the 20-year operational history of the Atmospheric Release Advisory Capability (ARAC), its concept of operations, and its applicability for use in support of emergency management decision makers. ARAC is a centralized federal facility for assessing atmospheric releases of hazardous materials in real time, using a robust suite of three-dimensional atmospheric transport and diffusion models, extensive geophysical and source-description databases, automated meteorological data acquisition systems, and experienced staff members. Although originally conceived to respond to nuclear accidents, the ARAC system has proven to be extremely adaptable, and has been used successfully during a wide variety of nonradiological hazardous chemical situations. ARAC represents a proven, validated, operational support capability for atmospheric hazardous releases.

  10. Cryogenic support system

    DOE Patents [OSTI]

    Nicol, Thomas H. (Aurora, IL); Niemann, Ralph C. (Downers Grove, IL); Gonczy, John D. (Oak Lawn, IL)

    1988-01-01T23:59:59.000Z

    A support system is disclosed for restraining large masses at very low or cryogenic temperatures. The support system employs a tie bar that is pivotally connected at opposite ends to an anchoring support member and a sliding support member. The tie bar extends substantially parallel to the longitudinal axis of the cold mass assembly, and comprises a rod that lengthens when cooled and a pair of end attachments that contract when cooled. The rod and end attachments are sized so that when the tie bar is cooled to cryogenic temperature, the net change in tie bar length is approximately zero. Longitudinal force directed against the cold mass assembly is distributed by the tie bar between the anchoring support member and the sliding support member.

  11. Cryogenic support system

    DOE Patents [OSTI]

    Nicol, T.H.; Niemann, R.C.; Gonczy, J.D.

    1988-11-01T23:59:59.000Z

    A support system is disclosed for restraining large masses at very low or cryogenic temperatures. The support system employs a tie bar that is pivotally connected at opposite ends to an anchoring support member and a sliding support member. The tie bar extends substantially parallel to the longitudinal axis of the cold mass assembly, and comprises a rod that lengthens when cooled and a pair of end attachments that contract when cooled. The rod and end attachments are sized so that when the tie bar is cooled to cryogenic temperature, the net change in tie bar length is approximately zero. Longitudinal force directed against the cold mass assembly is distributed by the tie bar between the anchoring support member and the sliding support member. 7 figs.

  12. Crystalline titanate catalyst supports

    DOE Patents [OSTI]

    Anthony, R.G.; Dosch, R.G.

    1993-01-05T23:59:59.000Z

    A series of new crystalline titanates (CT) are shown to have considerable potential as catalyst supports. For Pd supported catalyst, the catalytic activity for pyrene hydrogenation was substantially different depending on the type of CT, and one was substantially more active than Pd on hydrous titanium oxide (HTO). For 1-hexene hydrogenation the activities of the new CTs were approximately the same as for the hydrous metal oxide supports.

  13. Conduction cooled tube supports

    DOE Patents [OSTI]

    Worley, Arthur C. (Mt. Tabor, NJ); Becht, IV, Charles (Morristown, NJ)

    1984-01-01T23:59:59.000Z

    In boilers, process tubes are suspended by means of support studs that are in thermal contact with and attached to the metal roof casing of the boiler and the upper bend portions of the process tubes. The support studs are sufficiently short that when the boiler is in use, the support studs are cooled by conduction of heat to the process tubes and the roof casing thereby maintaining the temperature of the stud so that it does not exceed 1400.degree. F.

  14. Air Handler Condensate Recovery at the Environmental Protection Agency’s (EPA) Science and Ecosystem Support Division

    Broader source: Energy.gov [DOE]

    Case study details EPA's decision to address water conservation and management for its Science and Ecosystem Support Division due to a severe drought. The plan aimed to reduce potable water usage through an air handler condensate recovery project.

  15. Framing bioremediation decision making as negotiation: Rationale & guidelineFraming bioremediation decision making as negotiation: Rationale & guidelines

    SciTech Connect (OSTI)

    Bjornstad, David J.; Wolfe, Amy K.

    2004-03-17T23:59:59.000Z

    Framing remediation decision making as negotiation: (1) social choice, not technology choice; (2) prompts decision makers to identify interested and affected parties, anticipate objections, effectively address and ameliorate objections, and avoid unacceptable decisions.

  16. Materials Down Select Decisions Made Within DOE's Chemical Hydrogen...

    Energy Savers [EERE]

    Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center of Excellence Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center...

  17. Cellular Decision Making and Biological Noise: From Microbes to Mammals

    E-Print Network [OSTI]

    Balázsi, Gábor

    Cellular decision making is the process whereby cells assume different, functionally important and heritable fates without an associated genetic or environmental difference. Such stochastic cell fate decisions generate ...

  18. 15.060 Data, Models, and Decisions, Fall 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, ...

  19. Assessment of New Approaches in Geothermal Exploration Decision...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    approaches were investigated to develop a best-practices methodology for objective geothermal exploration decision making at a given location, including gono-go decision points...

  20. Record of Decision for the Uranium Leasing Program Programmatic...

    Energy Savers [EERE]

    Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact Statement Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact...

  1. Naval Petroleum Reserve No. 3 Disposition Decision Analysis and...

    Energy Savers [EERE]

    Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline This Report to Congress provides a...

  2. EIS-0236: Record of Decision | Department of Energy

    Office of Environmental Management (EM)

    EIS-0236: Record of Decision EIS-0236: Record of Decision National Ignition Facility The National Nuclear Security Administration (NNSA), a separate agency within the Department of...

  3. FAB Support Page

    E-Print Network [OSTI]

    Functional Analysis Basics (FAB) Seminar Support Page Fall 2014: Meets TBA. Suggestions for FAB ... Hours: by appointment. Back to Carl Cowen's Home Page

  4. Vessel structural support system

    DOE Patents [OSTI]

    Jenko, James X. (N. Versailles, PA); Ott, Howard L. (Kiski Twp., Allegheny County, PA); Wilson, Robert M. (Plum Boro, PA); Wepfer, Robert M. (Murrysville, PA)

    1992-01-01T23:59:59.000Z

    Vessel structural support system for laterally and vertically supporting a vessel, such as a nuclear steam generator having an exterior bottom surface and a side surface thereon. The system includes a bracket connected to the bottom surface. A support column is pivotally connected to the bracket for vertically supporting the steam generator. The system also includes a base pad assembly connected pivotally to the support column for supporting the support column and the steam generator. The base pad assembly, which is capable of being brought to a level position by turning leveling nuts, is anchored to a floor. The system further includes a male key member attached to the side surface of the steam generator and a female stop member attached to an adjacent wall. The male key member and the female stop member coact to laterally support the steam generator. Moreover, the system includes a snubber assembly connected to the side surface of the steam generator and also attached to the adjacent wall for dampening lateral movement of the steam generator. In addition, the system includes a restraining member of "flat" attached to the side surface of the steam generator and a bumper attached to the adjacent wall. The flat and the bumper coact to further laterally support the steam generator.

  5. Simulation of complex glazing products; from optical data measurements to model based predictive controls

    SciTech Connect (OSTI)

    Kohler, Christian

    2012-08-01T23:59:59.000Z

    Complex glazing systems such as venetian blinds, fritted glass and woven shades require more detailed optical and thermal input data for their components than specular non light-redirecting glazing systems. Various methods for measuring these data sets are described in this paper. These data sets are used in multiple simulation tools to model the thermal and optical properties of complex glazing systems. The output from these tools can be used to generate simplified rating values or as an input to other simulation tools such as whole building annual energy programs, or lighting analysis tools. I also describe some of the challenges of creating a rating system for these products and which factors affect this rating. A potential future direction of simulation and building operations is model based predictive controls, where detailed computer models are run in real-time, receiving data for an actual building and providing control input to building elements such as shades.

  6. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    SciTech Connect (OSTI)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31T23:59:59.000Z

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the “size” of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

  7. Review and model-based analysis of factors influencing soil carbon sequestration beneath switchgrass (Panicum virgatum)

    SciTech Connect (OSTI)

    Garten Jr, Charles T [ORNL

    2012-01-01T23:59:59.000Z

    Abstract. A simple, multi-compartment model was developed to predict soil carbon sequestration beneath switchgrass (Panicum virgatum) plantations in the southeastern United States. Soil carbon sequestration is an important component of sustainable switchgrass production for bioenergy because soil organic matter promotes water retention, nutrient supply, and soil properties that minimize erosion. A literature review was included for the purpose of model parameterization and five model-based experiments were conducted to predict how changes in environment (temperature) or crop management (cultivar, fertilization, and harvest efficiency) might affect soil carbon storage and nitrogen losses. Predictions of soil carbon sequestration were most sensitive to changes in annual biomass production, the ratio of belowground to aboveground biomass production, and temperature. Predictions of ecosystem nitrogen loss were most sensitive to changes in annual biomass production, the soil C/N ratio, and nitrogen remobilization efficiency (i.e., nitrogen cycling within the plant). Model-based experiments indicated that 1) soil carbon sequestration can be highly site specific depending on initial soil carbon stocks, temperature, and the amount of annual nitrogen fertilization, 2) response curves describing switchgrass yield as a function of annual nitrogen fertilization were important to model predictions, 3) plant improvements leading to greater belowground partitioning of biomass could increase soil carbon sequestration, 4) improvements in harvest efficiency have no indicated effects on soil carbon and nitrogen, but improve cumulative biomass yield, and 5) plant improvements that reduce organic matter decomposition rates could also increase soil carbon sequestration, even though the latter may not be consistent with desired improvements in plant tissue chemistry to maximize yields of cellulosic ethanol.

  8. Optimization Online - Optimizing Trading Decisions for Hydro ...

    E-Print Network [OSTI]

    Nils Löhndorf

    2011-12-10T23:59:59.000Z

    Dec 10, 2011 ... To demonstrate the efficiency of the solution approach, we fit an econometric ... Keywords: OR in Energy, Approximate Dynamic Programming, Stochastic Programming, Markov Decision Processes ... Classification Scheme

  9. Decision making process and factors routing

    E-Print Network [OSTI]

    Sun, Yichen, S.M. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in ...

  10. Rock Slopes from Mechanics to Decision Making

    E-Print Network [OSTI]

    Einstein, Herbert H.

    Rock slope instabilities are discussed in the context of decision making for risk assessment and management. Hence, the state of the slope and possible failure mechanism need to be defined first. This is done with geometrical ...

  11. Information, decision-making and health

    E-Print Network [OSTI]

    Abaluck, Jason T

    2011-01-01T23:59:59.000Z

    This thesis consists of three essays on information, decision-making and health. All three concern the relationship between the choices consumers would make if they were "fully informed" in an appropriate sense and the ...

  12. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This study explores the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. It employs alpha factor analysis techniques to develop ...

  13. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This report summarizes two interdependent studies which explore the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. They employ ...

  14. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  15. Enabling energy conservation through effective decision aids

    E-Print Network [OSTI]

    Rajagopal, D; Attari, S

    2015-01-01T23:59:59.000Z

    employ spreadsheet based or web-based calculators thatalso maintains a separate web-based calculator for comparingbe accomplished by linking any web-based decision aid to a

  16. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01T23:59:59.000Z

    Since 1970, the National Environmental Policy Act (NEPA) has served as the main instrument for analyzing the environmental impacts of federal agency decisions and providing the public with opportunities to participate in ...

  17. Argonne National Decision and Information Sciences Division

    E-Print Network [OSTI]

    Argonne National Laboratory Decision and Information Sciences Division Introducing EMTools conforms to expecta- tions. Argonne National Laboratory, developer of the successful Synchronization Matrix and exercise tool: EMTools. EMTools integrates the func- tionality of Argonne's previous-generation emergency

  18. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    emissions prices? How would CO2 regulations impact coal, gas, electricity, & SO2 markets? 3. Disruptions1 Decision Models for Bulk Energy Transportation Networks Electrical Engineering Professor Jim Mc: · integrated fuel, electricity networks · environmental impacts · electricity commodity markets · behavior

  19. Parallel object-oriented decision tree system

    DOE Patents [OSTI]

    Kamath; Chandrika (Dublin, CA), Cantu-Paz; Erick (Oakland, CA)

    2006-02-28T23:59:59.000Z

    A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.

  20. Interoperability Checklist for Decision-Makers

    SciTech Connect (OSTI)

    Melton, Ronald B.; Ambrosio, Ron

    2010-12-09T23:59:59.000Z

    In April 2007 the GridWise® Architecture Council published the Introduction to Interoperability and Decision-Maker’s Interoperability Checklist Version 1.0 as a tool to be used by policy makers and executives making smart grid policy or investment decisions. Subsequently there has been a significant amount of additional work on smart grid interoperability by the council and others. This paper summarizes the current efforts of the council to update the checklist to incorporate this subsequent work.

  1. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Molinari, Marc

    Enabling Services Dyslexia Support Information for Students Website: www.soton.ac.uk/edusupport/dyslexia Contact details Telephone: 023 8059 7726 Email: enable@soton.ac.uk #12;2 About Dyslexia Support · We are a team of specialist dyslexia practitioners within the University of Southampton's Enabling Services

  2. Nanostructured catalyst supports

    DOE Patents [OSTI]

    Zhu, Yimin; Goldman, Jay L.; Qian, Baixin; Stefan, Ionel C.

    2012-10-02T23:59:59.000Z

    The present invention relates to SiC nanostructures, including SiC nanopowder, SiC nanowires, and composites of SiC nanopowder and nanowires, which can be used as catalyst supports in membrane electrode assemblies and in fuel cells. The present invention also relates to composite catalyst supports comprising nanopowder and one or more inorganic nanowires for a membrane electrode assembly.

  3. Supporting Document Strategic Plan

    E-Print Network [OSTI]

    Auckland, University of

    1 Supporting Document Strategic Plan 2013­2020 #12;2 Supporting Document Strategic Plan 2013 more critical to the University's future than was the case in 2005. The purpose of this document are summarised via a SWOT analysis in Appendix 1. This document should therefore be read in conjunction

  4. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, J.E.

    1987-08-25T23:59:59.000Z

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.

  5. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, James E. (Simi Valley, CA)

    1987-01-01T23:59:59.000Z

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.

  6. Cognitive skill training for nuclear power plant operational decision making

    SciTech Connect (OSTI)

    Mumaw, R.J.; Swatzler, D.; Roth, E.M. [Westinghouse Electric Corp., Pittsburgh, PA (United States); Thomas, W.A. [Quantum Technologies, Inc., Oak Brook, IL (United States)

    1994-06-01T23:59:59.000Z

    Training for operator and other technical positions in the commercial nuclear power industry traditionally has focused on mastery of the formal procedures used to control plant systems and processes. However, decisionmaking tasks required of nuclear power plant operators involve cognitive skills (e.g., situation assessment, planning). Cognitive skills are needed in situations where formal procedures may not exist or may not be as prescriptive, as is the case in severe accident management (SAM). The Westinghouse research team investigated the potential cognitive demands of SAM on the control room operators and Technical Support Center staff who would be most involved in the selection and execution of severe accident control actions. A model of decision making, organized around six general cognitive processes, was developed to identify the types of cognitive skills that may be needed for effective performance. Also, twelve SAM scenarios were developed to reveal specific decision-making difficulties. Following the identification of relevant cognitive skills, 19 approaches for training individual and team cognitive skills were identified. A review of these approaches resulted in the identification of general characteristics that are important in effective training of cognitive skills.

  7. Summary of Decisions- August 5, 2013- August 9, 2013

    Broader source: Energy.gov [DOE]

    Decisions were issued on: - Personnel Security (10 CFR Part 710) - Whistleblower Appeal (10 CFR Part 708)

  8. Illuminating the Decision Path: The Yucca Mountain Site Recommendation

    SciTech Connect (OSTI)

    Knox, E.; Slothouber, L.

    2003-02-25T23:59:59.000Z

    On February 14, 2002, U.S. Secretary of Energy Spencer Abraham provided to the President the ''Recommendation by the Secretary of Energy Regarding the Suitability of the Yucca Mountain Site for a Repository Under the Nuclear Waste Policy Act of 1982.'' This Recommendation, along with supporting materials, complied with statutory requirements for communicating a site recommendation to the President, and it did more: in 49 pages, the Recommendation also spoke directly to the Nation, illuminating the methodology and considerations that led toward the decision to recommend the site. Addressing technical suitability, national interests, and public concerns, the Recommendation helped the public understand the potential risks and benefits of repository development and placed those risks and benefits in a meaningful national context.

  9. Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through§ Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 DOI: 10.2514/1.A32562 Although NASA has-term investment in the enabling technologies that will be required for these future systems. Given

  10. Algorithmic Decision Theory and Risk-based Decision Making in the

    E-Print Network [OSTI]

    distances to access resources in the case of a maritime, personnel casualty, or oil spill event. August 2012 speeds and quantities 2 #12;3 Algorithmic Decision Theory ·These tools and resources will enable better Theory ·These tools and resources will enable better decisions if we can surmount concomitant challenges

  11. Context Aware Decision System in a Smart Home: Knowledge Representation and Decision

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Context Aware Decision System in a Smart Home: Knowledge Representation and Decision Making Using representation, Reasoning under uncertainty 1 Introduction As the development of Smart Homes (SH) has gained.chahuara,francois.portet,michel.vacher}imag.fr Abstract. This research addresses the issue of building home automa- tion systems reactive to voice

  12. Chromatography resin support

    DOE Patents [OSTI]

    Dobos, James G. (North Augusta, SC)

    2002-01-01T23:59:59.000Z

    An apparatus and method of using an improved chromatography resin support is disclosed. The chromatography support platform is provided by a stainless steel hollow cylinder adapted for being inserted into a chromatography column. An exterior wall of the stainless steel cylinder defines a groove for carrying therein an "O"-ring. The upper surface of the stainless steel column is covered by a fine stainless steel mesh welded to the edges of the stainless steel cylinder. When placed upon a receiving ledge defined within a chromatography column, the "O"-ring provides a fluid tight seal with the inner edge wall of the chromatography cylinder. The stainless steel mesh supports the chromatography matrix and provides a back flushable support which is economical and simple to construct.

  13. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E. (Monroeville, PA); Schwallie, Ambrose L. (Greensburg, PA)

    1985-01-01T23:59:59.000Z

    A grid for the support of nuclear fuel rods arranged in a triangular array. The grid is formed by concentric rings of strap joined by radially arranged web sections.

  14. Supported inorganic membranes

    DOE Patents [OSTI]

    Sehgal, Rakesh (Albuquerque, NM); Brinker, Charles Jeffrey (Albuquerque, NM)

    1998-01-01T23:59:59.000Z

    Supported inorganic membranes capable of molecular sieving, and methods for their production, are provided. The subject membranes exhibit high flux and high selectivity. The subject membranes are substantially defect free and less than about 100 nm thick. The pores of the subject membranes have an average critical pore radius of less than about 5 .ANG., and have a narrow pore size distribution. The subject membranes are prepared by coating a porous substrate with a polymeric sol, preferably under conditions of low relative pressure of the liquid constituents of the sol. The coated substrate is dried and calcined to produce the subject supported membrane. Also provided are methods of derivatizing the surface of supported inorganic membranes with metal alkoxides. The subject membranes find use in a variety of applications, such as the separation of constituents of gaseous streams, as catalysts and catalyst supports, and the like.

  15. SAE Standards Support

    SciTech Connect (OSTI)

    Gowri, Krishnan

    2012-11-01T23:59:59.000Z

    This report summarizes PNNL activities in FY 2012 in support of the following two vehicle communication standards activities: • Technical support to SAE, ANSI and NIST technical working groups. PNNL actively contributed to the use case development, harmonization, and evaluation of the SAE standards activities for vehicle to grid communication • Tested and validated a set of potential technologies for meeting SAE communication requirements and provided recommendations for technology choices.

  16. Decision analysis for mobilizing and retrieving sludge from double-shell tanks

    SciTech Connect (OSTI)

    Brothers, A.J.; Williams, N.C.; Dukelow, J.S.; Hansen, R.I. [and others] [and others

    1997-09-01T23:59:59.000Z

    This decision analysis evaluates alternative technologies for the initial mobilization and retrieval of sludges in double-shell tanks (DSTs). The analysis is from the perspective of the need to move sludges from one DST to another for interim retrieval. It supports the more general decision of which technologies to use to retreive various types of DST waste. The initial analysis is from the perspective of a typical DST with 2 ft of sludge to mobilize. During the course of the analysis, it became clear that it was important to also consider sludge mobilization in support of the high-level waste (HLW) vitrification demonstration plant, and in particular the risks associated with failing to meeting the minimum order requirements for the vendor, as well as the cost of mobilization and retrieval from the HLW vitrification source tanks.

  17. Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint

    SciTech Connect (OSTI)

    Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

    2010-12-01T23:59:59.000Z

    Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

  18. Autonomous Reactor Control Using Model Based Predictive Control for Space Propulsion Applications

    SciTech Connect (OSTI)

    Bragg-Sitton, Shannon M.; Holloway, James Paul [University of Michigan, Nuclear Engineering and Radiological Sciences, Ann Arbor, MI 48109 (United States)

    2005-02-06T23:59:59.000Z

    Reliable reactor control is important to reactor safety, both in terrestrial and space systems. For a space system, where the time for communication to Earth is significant, autonomous control is imperative. Based on feedback from reactor diagnostics, a controller must be able to automatically adjust to changes in reactor temperature and power level to maintain nominal operation without user intervention. Model-based predictive control (MBPC) (Clarke 1994; Morari 1994) is investigated as a potential control methodology for reactor start-up and transient operation in the presence of an external source. Bragg-Sitton and Holloway (2004) assessed the applicability of MBPC to reactor start-up from a cold, zero-power condition in the presence of a time-varying external radiation source, where large fluctuations in the external radiation source can significantly impact a reactor during start-up operations. The MBPC algorithm applied the point kinetics model to describe the reactor dynamics, using a single group of delayed neutrons; initial application considered a fast neutron lifetime (10-3 sec) to simplify calculations during initial controller analysis. The present study will more accurately specify the dynamics of a fast reactor, using a more appropriate fast neutron lifetime (10-7 sec) than in the previous work. Controller stability will also be assessed by carefully considering the dependencies of each component in the defined cost (objective) function and its subsequent effect on the selected 'optimal' control maneuvers.

  19. Model-based performance monitoring: Review of diagnostic methods and chiller case study

    SciTech Connect (OSTI)

    Haves, Phil; Khalsa, Sat Kartar

    2000-05-01T23:59:59.000Z

    The paper commences by reviewing the variety of technical approaches to the problem of detecting and diagnosing faulty operation in order to improve the actual performance of buildings. The review covers manual and automated methods, active testing and passive monitoring, the different classes of models used in fault detection, and methods of diagnosis. The process of model-based fault detection is then illustrated by describing the use of relatively simple empirical models of chiller energy performance to monitor equipment degradation and control problems. The CoolTools(trademark) chiller model identification package is used to fit the DOE-2 chiller model to on-site measurements from a building instrumented with high quality sensors. The need for simple algorithms to reject transient data, detect power surges and identify control problems is discussed, as is the use of energy balance checks to detect sensor problems. The accuracy with which the chiller model can be expected! to predict performance is assessed from the goodness of fit obtained and the implications for fault detection sensitivity and sensor accuracy requirements are discussed. A case study is described in which the model was applied retroactively to high-quality data collected in a San Francisco office building as part of a related project (Piette et al. 1999).

  20. Experimental studies of helical solenoid model based on YBCO tape-bridge joints

    SciTech Connect (OSTI)

    Yu, M.; Lombardo, V.; Turrioni, D.; Zlobin, A.V.; /Fermilab; Flangan, G.; /MUONS Inc., Batavia; Lopes, M.L.; /Fermilab; Johnson, R.P.; /Fermilab

    2011-06-01T23:59:59.000Z

    Helical solenoids that provide solenoid, helical dipole and helical gradient field components are designed for a helical cooling channel (HCC) proposed for cooling of muon beams in a muon collider. The high temperature superconductor (HTS), 12 mm wide and 0.1 mm thick YBCO tape, is used as the conductor for the highest-field section of HCC due to certain advantages, such as its electrical and mechanical properties. To study and address the design, and technological and performance issues related to magnets based on YBCO tapes, a short helical solenoid model based on double-pancake coils was designed, fabricated and tested at Fermilab. Splicing joints were made with Sn-Pb solder as the power leads and the connection between coils, which is the most critical element in the magnet that can limit the performance significantly. This paper summarizes the test results of YBCO tape and double-pancake coils in liquid nitrogen and liquid helium, and then focuses on the study of YBCO splices, including the soldering temperatures and pressures, and splice bending test.

  1. In many application domains, Simulink/Stateflow serves as a platform for model-based development of the reactive embedded code, that interacts with its environment in real-time fashion. The talk will discuss a model-based ap-

    E-Print Network [OSTI]

    Stanley, Kenneth O.

    physical systems, sensors and their networks with application to agriculture, power systems and energy is a Fellow of the IEEE for contributions to discrete event system modeling, control, diagnosisIn many application domains, Simulink/Stateflow serves as a platform for model-based development

  2. Facility Energy Decision System (FEDS) Assessment Report for Fort Buchanan, Puerto Rico

    SciTech Connect (OSTI)

    Chvala, William D.; Solana, Amy E.; Dixon, Douglas R.

    2005-02-01T23:59:59.000Z

    This report documents the findings of the Facility Energy Decision System (FEDS) assessment at Fort Buchanan, Puerto Rico, by a team of PNNL engineers under contract to the Installation Management Agency (IMA) Southeast Region Office (SERO). Funding support was also provided by the Department of Energy's Federal Energy Management Program. The purpose of the assessment was to determine how energy is consumed at Fort Buchanan, identify the most cost-effective energy retrofit measures, and calculate the potential energy and cost savings.

  3. Naturalistic Decision Making for Power System Operators

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Podmore, Robin; Robinson, Marck; Ey, Pamela

    2010-02-01T23:59:59.000Z

    Motivation – Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three T’s: Trees, Training and Tools. To document and understand the mental processes used by expert operators when making critical decisions, a naturalistic decision making (NDM) model was developed. Transcripts of conversations were analyzed to reveal and assess NDM-based performance criteria. Findings/Design – An item analysis indicated that the operators’ Situation Awareness Levels, mental models, and mental simulations can be mapped at different points in the training scenario. This may identify improved training methods or analytical/ visualization tools. Originality/Value – This study applies for the first time, the concepts of Recognition Primed Decision Making, Situation Awareness Levels and Cognitive Task Analysis to training of electric power system operators. Take away message – The NDM approach provides a viable framework for systematic training management to accelerate learning in simulator-based training scenarios for power system operators and teams.

  4. Model Based Vehicle Tracking in Urban Environments Anna Petrovskaya and Sebastian Thrun

    E-Print Network [OSTI]

    , including prevention of road accidents, optimal fuel usage, comfort and convenience. In recent years the Defense Advanced Research Projects Agency (DARPA) has taken a lead on encouraging research in this area based approach which encompasses both geometric and dynamic This work was in part supported

  5. Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi, Viktor Prasanna

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi- duction has led to an industry-wide push to develop smart oilfields for the future. Applications for smart oilfields are characterized with heterogeneous data and resources, com- plicated business processes

  6. To appear in the ACM APGV 2007 symposium proceedings Hybrid Image-/Model-Based Gaze-Contingent Rendering

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    -Contingent Rendering Hunter Murphy Andrew T. Duchowski School of Computing, Clemson University Figure 1: The original is displayed. Abstract A nonisotropic hybrid image-/model-based gaze-contingent render- ing technique utilizing: gpu, perceptual rendering, gaze-contingent rendering 1 Introduction The contributions of this paper

  7. 3-D Mobile-to-Mobile channel tracking with first-order autoregressive model-based Kalman filter

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 3-D Mobile-to-Mobile channel tracking with first-order autoregressive model-based Kalman filter. It approximates the channel by a first-order au- toregressive (AR(1)) model and tracks it by a Kalman filter of the Kalman filter, and we justify why it is more appropriate for slow fading variations. This paper provides

  8. Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case Study

    E-Print Network [OSTI]

    Sontag, Eduardo

    Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case, Los Angeles, CA 90095-1592, USA, davidmps@ucla.edu, pdc@seas.ucla.edu. Controller Process x Data feedback control of nonlinear uncertain systems subject to sensor data losses. We compare three different

  9. Improving Testing of Enterprise Systems by Model-based Testing on Graphical User Sebastian Wieczorek and Alin Stefanescu

    E-Print Network [OSTI]

    Southampton, University of

    their usage. Leading firms now use SOA on more than 50% of their solution delivery projects. SAP, a leadingImproving Testing of Enterprise Systems by Model-based Testing on Graphical User Interfaces Sebastian Wieczorek and Alin Stefanescu SAP Research Darmstadt, Germany {name.surname}@sap.com Abstract

  10. Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based Minimum Mean-Square Error Estimators

    E-Print Network [OSTI]

    Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based mean-square error es- timators have been applied to speech enhancement in the tem- poral, transform (e estimator for 8 kHz telephone-quality speech. Index Terms: Speech enhancement, minimum mean-square er- ror

  11. Proceedings IROS 2000 Conference on Intelligent Robots and Systems, Takamatsu, Japan Planning and Model-Based Control for Mobile Manipulators

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    and Model-Based Control for Mobile Manipulators Evangelos Papadopoulos and John Poulakakis Department-line approach for motion control of mobile manipulators using augmented Jacobian matrices, [8]. The approach on trajectory planning and control for mobile manipulators. Two commonly available mobile platforms, a car

  12. Kinematic and dynamic model-based control of wheeled mobile manipulators: a unified framework for reactive approaches

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Kinematic and dynamic model-based control of wheeled mobile manipulators: a unified framework aims at providing a unified modeling framework for the reactive control of wheeled mobile manipulators systems is given. This modeling framework is particularly well suited for reactive control approaches

  13. A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles

    E-Print Network [OSTI]

    Kumar, Ratnesh

    A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles M. O'Connor, S. Tangirala, R. Kumar, S. Bhattacharyya, M. Sznaier and L.E. Holloway Abstract -- We present a systematic method of verification for a hierarchical hybrid system

  14. Effective and Efficient Distributed Model-based Clustering Hans-Peter Kriegel, Peer Kroger, Alexey Pryakhin, Matthias Schubert

    E-Print Network [OSTI]

    Kriegel, Hans-Peter

    Effective and Efficient Distributed Model-based Clustering Hans-Peter Kriegel, Peer Kr¨oger, Alexey,kroegerp,pryakhin,schubert}@dbs.ifi.lmu.de Abstract In many companies data is distributed among several sites, i.e. each site generates its own data and manages its own data repository. Analyzing and mining these dis- tributed sources requires distributed

  15. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01T23:59:59.000Z

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  16. BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin

    E-Print Network [OSTI]

    Qin, Xiao

    Engineering Auburn University Auburn, AL USA 36849-5347 Email: xqin@auburn.edu Abstract--Energy cost becomes different servers have different energy consumption characters even with same CPU. In this paper, we present BFEPM, a best fit energy prediction model. It choose best model based on the power consumption benchmark

  17. Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas

    E-Print Network [OSTI]

    Subramanian, Venkat

    great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficientlyExperimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas Lian He, Venkat R. Subramanian, Yinjie J. Tang* Department of Energy, Environmental

  18. A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems Di--Cyber-physical systems (CPS), such as automotive systems, are very difficult to design due to the tight interactions of an integrated automotive control system. The system is composed of two independently designed controllers

  19. Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio J. Marquez

    E-Print Network [OSTI]

    Marquez, Horacio J.

    Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio detection in boiler steam-water systems. The algorithm has been tested using real industrial data from Syncrude Canada, and has proven to be effective in detection of boiler tube or steam leaks; proper

  20. A Software Decision Support System 1. Purpose of MKA-2 system

    E-Print Network [OSTI]

    Mustakerov, Ivan

    optimized in the feasible set of alternatives. In the general case there does not exist one alternative, credits, products, innovations, designs, costs, profits, portfolios, etc. For the purpose of better for evaluation are the following: · Manpower for running the plant (number of persons); · Power (Megawatts

  1. Risk Assessment supporting the decision on the initial selection of supplemental ILAW technologies

    SciTech Connect (OSTI)

    MANN, F. M.

    2003-09-29T23:59:59.000Z

    A risk assessment on the long-term environmental impact of various potential waste forms was conducted at the request of the Hanford Site's Mission Acceleration Initiative Team. These potential waste forms (bulk vitrification, cast stone, and steam reformer) may treat some of the low-activity waste currently planned to be treated at the Waste Treatment Plant.

  2. Novel scenarios for sustainable waterway sediments management deduced from a decision-support tool

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    dredging releases millions of m3 of sediments, from which a large part is contaminated or even polluted with quantitative data, in order to evaluate various scenarios taking into account cost and sustainability for the GeDSeT tool. Fig.2: Selective dredging and detail characterisation. Crosses: sampling points. Boxes

  3. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01T23:59:59.000Z

    sources such as structural health monitoring sensors, hazarddata received from structural health monitoring sensors,and information from structural health monitoring sensors.

  4. Using Simulation for Decision Support: Lessons Learned from FireGrid 

    E-Print Network [OSTI]

    Wickler, Gerhard; Beckett, George; Han, Liangxiu; Koo, Sung-Han; Potter, Stephen; Pringle, Gavin; Tate, Austin

    This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a similar system, where...

  5. A TEAMWORK TEST-BED FOR A DECISION SUPPORT SYSTEM Brahim Chaib-draa

    E-Print Network [OSTI]

    Kropf, Peter

    manufacturing, and others), nuclear power plant control, communication management and control, shipboard command and control (C2), electric power management, reactive systems such as commercial aircraft control systems, etc, shipboard C2 systems must assure adequate response to external threats while making the most effective use

  6. Use of Quantitative Uncertainty Analysis to Support M&V Decisions in Super ESPCs

    E-Print Network [OSTI]

    Kumar, Satish; Mathew, Paul

    2005-01-01T23:59:59.000Z

    the financial analysis of the ESPC, in that it providesis a critical element of an ESPC—without it, there is no wayrealized. Every FEMP Super ESPC is required to have an M&V

  7. Use of Quantitative Uncertainty Analysis to Support M&V Decisions in ESPCs

    E-Print Network [OSTI]

    Mathew, Paul A.; Koehling, Erick; Kumar, Satish

    2005-01-01T23:59:59.000Z

    Savings Performance Contract (ESPC) - without M&V, there isthe projected savings in an ESPC are in fact being realized.conservation measure in an ESPC, there are usually several

  8. Decision Diagrams: Fast and Flexible Support for Case Retrieval and Recommendation

    E-Print Network [OSTI]

    Bridge, Derek

    Ginty and Mr. James Reilly for making their Laptops and Cameras data available to us. #12;Location Bathrooms, Derek Bridge, and Nic Wilson University College Cork, Cork, Ireland rn1@cs.ucc.ie, d.bridge@cs.ucc.ie, n is any system that automatically constructs an index structure into the case base (e.g. the k-d trees

  9. In Technology Studies, 3(2):263-267, 1996 Decision Support Systems in Genetic Counseling

    E-Print Network [OSTI]

    Druzdzel, Marek J.

    confronted with test results indicating possible genetic disorders of their babies? Can computer programs, command and control of military combat units, control of nuclear power plants, management of complex empirical evidence suggests that experts indeed perform better than novices within their area of expertise

  10. Water Resources Management Decision Support Primary Investigator: Thomas E. Croley -NOAA GLERL (Emeritus)

    E-Print Network [OSTI]

    , Deborah H. Lee - US Army Corps of Engineers Overview The Great Lakes Environmental Research Laboratory, and the board of the International Coordinating Committee for Great Lakes Basic Hydraulics and Hydrology Data activities in this project. GLERL uses their Advanced Hydrologic Prediction System (AHPS) in aspects

  11. Colorado State University A decision support system for managing and quantifying the risks and

    E-Print Network [OSTI]

    services can be accessed using traditional GIS desktop methods such as ArcMap or via Web Pages specifically to achieve land management objectives and to relate risk reduction with ecosystem benefits. It provides or create the necessary fire behavior and valuation information necessary to generate the analysis

  12. Decision Support Tool for Predicting Aircraft Arrival Rates, Ground Delay Programs, and Airport

    E-Print Network [OSTI]

    associated with construction, it is unlikely that any new airports will be built in the near future went on to predict that the these airports will be at 89% capacity by 2012 [2]. The congestion problem

  13. Image Guided Decision Support System for Pathology Dorin Comaniciu Peter Meer David J. Foran

    E-Print Network [OSTI]

    -- Information fusion -- User interfaces. Correspondence to be sent to: Peter Meer ECE Department Rutgers, area, and texture of the nucleus. The nuclear shape is characterized through similarity invariant whether the cells are benign. 2 #12; While the nuclear morphologic attributes can theoretically lead

  14. A Decision Support Tool for Building Leasing Strategies to Achieve the Executive Order Mandate

    E-Print Network [OSTI]

    #12;Electricity Projections 10 Source: U.S. Energy Information Administration 2011 US Government Spent Buildings · 30% Lower Operating expense · Use less energy ­ 25% decrease in electricity consumptions ­ 11 for Federal Government Green Buildings Members: Alexandre Cheytanov Nathan Bales Paramjeet Khanna Chris Swift

  15. Potential for Improving Decision Support Catalysed by Semantic Interoperability Between Systems

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31T23:59:59.000Z

    Convergence of systems and intelligent automation may augment the ability of supply chain operations or healthcare networks to rapidly adapt to changes or respond, with minimal human intervention, under ideal conditions. ...

  16. A Multi-Agent Decision Support System for Supply Chain Yevgeniya Kovalchuk

    E-Print Network [OSTI]

    Fernandez, Thomas

    Voelker helped me to maintain my skills in Software Engineering. I appreciate the help of Dr Maria Fasli Tverdohleb, Ludmila Mova, Olga Kushik, Alina Afanasjeva, Andrej Alisov, Dmitry Ananjev, Alexander Turkinov

  17. Multimedia-based decision support system for hazards recognition and abatement

    DOE Patents [OSTI]

    Czachowski, John B. (Knoxville, TN); Zoldak, John T. (Alexandria, VA)

    1998-01-01T23:59:59.000Z

    A system for monitoring a site includes a portable data collection module used in the field to collect site specific data, and a processor module located at a central location. The data collection module displays choices of categories of findings, and then specific findings within each category. A selected specific finding is then displayed in report form with a citation to the specific code or statutory requirement, as well as a recommended course of action and an abatement date.

  18. How can we improve information delivery to support conservation and restoration decisions?

    E-Print Network [OSTI]

    Seavy, Nathaniel E.; Howell, Christine A.

    2010-01-01T23:59:59.000Z

    Synthesis (2005) Stream restoration databases and caseGoodwin P (2007) Stream restoration in the Paci?c Northwest:

  19. Contingency Visualization for Real-Time Decision Support in Grid Operation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu; Greitzer, Frank L.; Eubank, Robert

    2011-10-17T23:59:59.000Z

    Contingency analysis is a key function in control centers to assess the impact of various combinations of power system component failures based on state estimates. Today's practice analyzes only a limited set of contingency cases and lacks of capabilities in presenting the results in a way that is easy to be understood by grid operators in a short time frame of seconds to minutes. This limits the ability to operate the power grid for better reliability and efficiency. Faster analysis of more cases is required to safely and reliably operate today's power grids which have a less margin and more intermittent renewable energy sources. This paper explores the advancements in high performance computing and visual analytics for improving the computational speed and the information representation in contingency analysis. A framework of advanced contingency analysis is proposed. Case studies using the Western Electricity Coordinating Council (WECC) system are presented to demonstrate the feasibility of the proposed framework. Comparative assessment by real power grid operators has been performed as part of a WECC operator training class. The assessment results demonstrate the validity of the proposed contingency analysis and visualization approach.

  20. Using Tools to Support Decision-Making for Multiple Benefits in Transportation and Conservation

    E-Print Network [OSTI]

    Howie, Shara; Majerus, Kimberly; Schaftlein, Shari

    2007-01-01T23:59:59.000Z

    and environmental and conservation practitioners to moveidentified environmental and conservation priorities andweb-based conservation services such as environmental review

  1. Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

    E-Print Network [OSTI]

    Cummings, M.L.

    2010-01-01T23:59:59.000Z

    In resource allocation problems for systems with moving planning horizons and significant uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation collaboration be ...

  2. SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support

    E-Print Network [OSTI]

    Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

  3. The Design of an FAA Campus Motor Fleet Decision Support System

    E-Print Network [OSTI]

    goals. The Federal Aviation Administration (FAA) has over 4300 registered vehicles in its fleet. As per billion; nearly a quarter of total costs. B. FAA The Federal Aviation Administration (FAA) is a part. II. STAKEHOLDER ANALYSIS A. Federal Aviation Administration (FAA) The FAA is responsible

  4. The role of transfer-appropriate processing in the effectiveness of decision-support graphics

    E-Print Network [OSTI]

    Stiso, Michael E.

    2004-11-15T23:59:59.000Z

    into serpent-infested seas. I would also like to thank the Federal Aviation Administration for the use of its Air Traffic Scenario Test simulation, upon which I based the design of the ATC task described in this document. Finally, I could not have completed...

  5. Decision Support Tool for Prioritization of Resources Dedicated to Surveillance and Maintenance Activities

    Broader source: Energy.gov [DOE]

    The Department of Energy (DOE) currently faces a difficult task in the disposition of excess facilities. Many of these facilities are large and complex and contain potentially hazardous substances.

  6. Legacy Systems Assessment to Support Decision Making Aniello Cimitile*, Anna Rita Fasolino**, Filippo Lanubile***

    E-Print Network [OSTI]

    Lanubile, Filippo

    of the system (reduction of size and complexity) to ordinary preventive maintenance (re- documentation of the maintenance productivity could be achieved by promoting preventive maintenance. It also stressed the need, restructuring and reengineering) or even to an extraordinary process of adaptive maintenance (interface

  7. Use of GIS as a Real Time Decision Support System for Irrigation Districts

    E-Print Network [OSTI]

    Bonaiti, G.; Fipps, G.

    laptop. Similarly, SCADA unit in PC2 polls the river pump RTU for equipment status (On/Off), flow rate, and cumulated flow. Water account information is stored and updated in the server using a Microsoft Windows Access database. The district manages..., which displays flow rates and resaca water levels. A: entire status map. B: detail showing the drop down menu to pumps weekly charts ............................. 15 Figure 9. Status map set for CCID2, which displays information for the automated...

  8. Z .Decision Support Systems 30 2001 279288 www.elsevier.comrlocaterdsw

    E-Print Network [OSTI]

    Oren, Shmuel S.

    a competitive electricity market traditional demand-side management DSM options offering customers curtailable of numerous demand-side Z .management programs DSM aimed at reducing the cost of electricity by taking and financial options in demand-side electricity contracts Shmuel S. Oren) Department of Industrial Engineering

  9. The development and implementation of a cash flow decision support system

    E-Print Network [OSTI]

    Kilcoyne, Suzanne Jo

    1983-01-01T23:59:59.000Z

    the cost of business property over a specified 10 1 I I I I I I I I 1 1 I I I f Problem Assignment Outline Objective 0 Derive Alternatives USER Request necessary infor- mation Manipulate and organize data Apply appropriate... = ? - ? e 2- ?. e 2 c c -jt 2 -jt J . 2 . 2 J 19 if the initial condition is assumed to be A(t1=0) = 0. For the ramp function given in Figure (4) which begins at time t1=0 and stops at t2=T, the present value is PV ? -~e"' - ? e c c -jT cT -jT J J (6...

  10. Human Missions to Mars: Designing decision-support tools for a safety critical environment

    E-Print Network [OSTI]

    Whitely, I.; Bogatyreva, O.; Johnson, C.W.

    Whitely,I. Bogatyreva,O. Johnson,C.W. Wolff,M. Townend,M. Proceedings of the 3rd International Association for the Advancement of Space Safety (IAASS) Conference, â??Building a safer space togetherâ??, International Association for the Advancement of Space Safety (IAASS) Rome, Italy

  11. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  12. A Visualization-Based Decision Support Tool for Emergency Management Oak Ridge National Laboratory

    E-Print Network [OSTI]

    Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy sectors (e.g., miles of highway, pipelines, and power lines; number of cell towers and bridges

  13. The design of a decision support system for supply chain risk management

    E-Print Network [OSTI]

    Deshmukh, Vinay (Vinay D.)

    2007-01-01T23:59:59.000Z

    Where can things go wrong? This deceptively simple question has fascinated mankind since time immemorial. The question in fact forms the basis of risk management. The focus of this thesis is the risk management of supply ...

  14. Supporting medical decision in telecardiology: a patient-centered ontology-based approach

    E-Print Network [OSTI]

    Zweigenbaum, Pierre

    , France Abstract and Objective The objective of the AKENATON project is to improve alert management, and is expected to decrease mortality and hospitali- zation rates [1]. In this context, ICDs send many remote-up to perspectives centered on individualized patient care, in order to improve alert management. To achieve

  15. Introducing the use of integrated Decision Support System in Natural Resources Planning

    E-Print Network [OSTI]

    Park, Hye Yeon, S.M. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    The target subject of Natural Resources Planning (NRP) includes various systems and their elements, all of which are centered around the natural resource system. Given this characteristic complexity and a high degree of ...

  16. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01T23:59:59.000Z

    distribution systems are available from several authors including Vanzi (1996), who models the reliabilitysystem reliability. For example, while the retrofit of a water distributiondistributions systems. Furthermore, it is known that system interdependency can strongly affect system reliability.

  17. Combining lifecycle and risk assessments of mineral waste reuse scenarios for decision making support

    SciTech Connect (OSTI)

    Benetto, Enrico [ECOINNOVA France, 47 rue M. Flandin, 69003 Lyon Cedex 3 (France)]. E-mail: benetto@ecoinnova.it; Tiruta-Barna, Ligia [INSA Lyon-LAEPSI, 20 rue A.Einstein, 69621 Villeurbanne cedex, since November 2005: INSA Toulouse-LIPE, 135 av. de Rangueil, 31077 Toulouse cedex France (France)]. E-mail: ligia.barna@insa-toulouse.fr; Perrodin, Yves [ENTPE-LSE, rue M.Audin, 69518 Vaulx-en-Velin cedex (France)]. E-mail: perrodin@entpe.fr

    2007-04-15T23:59:59.000Z

    Lack of regulations and standards on mineral waste recycling makes Life Cycle Assessment (LCA) and Ecological Risk Assessment (ERA) useful methods for environmental assessment of recycling scenarios. An unsolved problem arises whenever two scenarios of recycling have to be compared according to both ERA and LCA impact results considered simultaneously. A methodology to combine LCA and ERA results and tools toward Integrated Environmental Assessment (IEA) is proposed together with three application examples based on case studies. The most effective combination approach is to define further impact categories for ERA to be considered with the standard LCA ones. Then, the use of a multicriteria analysis method was proved to be an efficient way to rank alternative scenarios with respect to all the results. The key issues to be further researched are discussed and proposals are suggested.

  18. Enabling strategic fulfillment : a decision support tool for fulfillment network optimization

    E-Print Network [OSTI]

    Drake, Bryan (Bryan G.)

    2012-01-01T23:59:59.000Z

    Dell's Third-Party (3P) Product network uses several different order fulfillment methods, though the determination of which products are fulfilled under which method is not clearly delineated. We have developed a tool to ...

  19. Development of Decision Support Software to Estimate the Cost of Transporting and Ginning of Seed Cotton

    E-Print Network [OSTI]

    Grier, Jordan Lee

    2014-08-13T23:59:59.000Z

    transportation model produced in 2009 is being updated to reflect current economic conditions. This paper explains how non-conventional module types were incorporated into the transportation calculator to aid cotton ginners and producers in making sound...

  20. A Software Architecture for Distributed Geospatial Decision Support Systems* Steve Goddard, Shifeng Zhang,

    E-Print Network [OSTI]

    Goddard, Steve

    -making processes by generating maps that convey information gleaned from their respective databases. However and accessibility of drought related knowledge, information, and data for drought risk management. At the core that consists of four distributed layers: the data layer, the information layer, the knowledge layer